QuantCalc › Research › Work One More Year or Save More 2026

Work One More Year or Save More: Which Moves Retirement Success More? (2026)

Three ways to make a retirement plan safer: stay at work another year, put more away in the last working years, or plan to spend less. This study runs all three through the same Monte Carlo engine on identical market paths — 10,000 simulated retirements per arm, six arms, two personas — and reports what each buys in success and in wealth at 95, per year worked, per $10,000 a year saved and per $5,000 a year cut.

QuantCalc Research · Published 2026-09-08 · v2026.1 · CC-BY-4.0 dataset

Work one more year or save more: which moves retirement success more?

Per unit, the order was the same in both personas: $5,000 a year less spent moved success the most, then a year of work, then $10,000 a year more saved for five years. A year of work was worth 1.5× (persona A) and 1.7× (persona B) the success gain of the saving step, and 0.7× and 0.9× that of the spending cut. For a 60-year-old with $800,000 on a 60/40 plan, saving $30,000 a year, spending $60,000 a year with $30,000 of Social Security from 67 (persona A), retiring at 65 reached 95 with money left in 96.5% of 10,000 paths. Retiring at 66 lifted that to 98.1% (+1.6 pp); saving $10,000 a year more for the five working years to 97.6% (+1.1 pp); spending $5,000 a year less to 98.8% (+2.3 pp). On the same market paths the year of work ended +$266,760 at 95 at the median, against +$166,227 for the extra saving and +$276,177 for the spending cut. In the marginal persona B ($600,000, spending $67,000, baseline 70.5%) every lever counted for more: +10.5 pp for a year of work, +6.0 pp for $10,000 a year more saved and +12.2 pp for $5,000 a year less spent, with a second year of work worth +18.2 pp in all.

Key numbers

Persona: armSuccess to 95Δ successSuccess gained per unitPaired median Δ at 95Arm ends higher
A: Retire at 66 (one more year)98.1% (baseline 96.5%)+1.6 pp+1.6 pp / yr+$266,76098.1%
A: Retire at 67 (two more years)99.0% (baseline 96.5%)+2.5 pp+1.2 pp / yr+$524,12399.0%
A: Save $40,000 a year ($10,000 more)97.6% (baseline 96.5%)+1.1 pp+1.1 pp / $10k/yr+$166,22797.6%
A: Save $50,000 a year ($20,000 more)98.2% (baseline 96.5%)+1.7 pp+0.8 pp / $10k/yr+$332,45498.2%
A: Spend $5,000 a year less98.8% (baseline 96.5%)+2.3 pp+2.3 pp / $5k/yr+$276,17798.8%
A: Spend $10,000 a year less99.8% (baseline 96.5%)+3.3 pp+1.6 pp / $5k/yr+$552,74899.8%
B: Retire at 66 (one more year)81.0% (baseline 70.5%)+10.5 pp+10.5 pp / yr+$265,99081.0%
B: Retire at 67 (two more years)88.7% (baseline 70.5%)+18.2 pp+9.1 pp / yr+$527,55088.7%
B: Save $40,000 a year ($10,000 more)76.5% (baseline 70.5%)+6.0 pp+6.0 pp / $10k/yr+$157,24476.5%
B: Save $50,000 a year ($20,000 more)81.6% (baseline 70.5%)+11.1 pp+5.5 pp / $10k/yr+$317,10181.6%
B: Spend $5,000 a year less82.7% (baseline 70.5%)+12.2 pp+12.2 pp / $5k/yr+$250,61082.7%
B: Spend $10,000 a year less91.8% (baseline 70.5%)+21.3 pp+10.7 pp / $5k/yr+$510,38791.8%

work longer save more spend less — persona A: $800,000, $60,000/yr; persona B: $600,000, $67,000/yr.

10,000 quasi-Monte Carlo paths per arm, identical market draws for every arm of a persona; JPMorgan LTCMA 2026 capital-market assumptions (as of 2025-11-01; am.jpmorgan.com, checked 2026-09-10); all dollars in today’s dollars; pre-tax. “Success” means the portfolio never reached $0 before 95. “Per unit” is the success gain divided by years worked, $10,000-a-year saving steps or $5,000-a-year spending steps. Every arm adds money or removes withdrawals on the same draws, so no arm ends below its baseline on any path; “arm ends higher” falls short of 100% only where both arms run out.

Run persona A in the free planner →

Opens the Monte Carlo planner prefilled with this study’s baseline — age 60, retire at 65, plan to 95, $800,000, $30,000 a year saved, $60,000 a year spent, $30,000 Social Security from 67, 45/15/40 US equity / international / bonds. Change the retirement age, the contribution or the spending to see each lever on your own numbers.

+1.6 pp
Success from one more year of work, persona A (96.5% → 98.1%)
+1.1 pp
Success from $10,000 a year more saved for five years, persona A
+2.3 pp
Success from $5,000 a year less spent, persona A
+10.5 pp
Success from one more year of work, persona B (70.5% → 81.0%)

What is being compared

The baseline is a 60-year-old who keeps saving $30,000 a year until 65, then draws a constant-real $60,000 a year (persona A) or $67,000 (persona B) from the portfolio, with $30,000 a year of Social Security arriving at 67 and reducing the draw from then on, to 95. The portfolio is 45/15/40 US equity / international / bonds, rebalanced once a year. Six arms change exactly one thing each:

Every arm of a persona runs on the same 10,000 market paths, so every statistic can be taken path by path. The headline for each arm is the change in the success rate and, to make the three levers comparable, that change per unit: per year worked, per $10,000 a year saved, per $5,000 a year cut. Beside it is the paired difference in wealth at 95 — the arm’s balance minus the baseline’s on the same path — summarised by its median and its 10th–90th percentile band. Because each arm only adds money or removes withdrawals, it ends at or above the baseline on every path; the share of paths on which it ends strictly higher is therefore one minus the share on which both arms run out, and the informative columns are the size of the gap, not its sign.

Results: persona A, $800,000 spending $60,000 a year (comfortable plan)

Baseline success 96.5%. Each row is one arm against the same baseline. Dollar columns are wealth at 95 in today’s dollars.

ArmRetireSaving / yrSpending / yr Success to 95Δ successPer unit Median at 95p10 at 95 Paired median ΔPaired p10 … p90 Arm ends higherPaths only the arm survives
Baseline: retire at 6565$30,000$60,00096.5%——$1,542,165$281,237————
Retire at 66 (one more year)66$30,000$60,00098.1%+1.6 pp+1.6 pp / yr$1,812,838$444,336+$266,760+$127,182 … +$546,06698.1%161
Retire at 67 (two more years)67$30,000$60,00099.0%+2.5 pp+1.2 pp / yr$2,079,368$595,691+$524,123+$252,268 … +$1,065,53499.0%248
Save $40,000 a year ($10,000 more)65$40,000$60,00097.6%+1.1 pp+1.1 pp / $10k/yr$1,713,163$369,460+$166,227+$78,614 … +$347,55497.6%106
Save $50,000 a year ($20,000 more)65$50,000$60,00098.2%+1.7 pp+0.8 pp / $10k/yr$1,875,303$464,637+$332,454+$157,873 … +$695,10898.2%166
Spend $5,000 a year less65$30,000$55,00098.8%+2.3 pp+2.3 pp / $5k/yr$1,821,489$503,058+$276,177+$170,421 … +$452,25898.8%228
Spend $10,000 a year less65$30,000$50,00099.8%+3.3 pp+1.6 pp / $5k/yr$2,107,952$712,342+$552,748+$342,965 … +$904,51599.8%325

“Per unit” = Δ success ÷ units (1 or 2 years worked; 1 or 2 steps of $10,000 a year saved; 1 or 2 steps of $5,000 a year cut). “Paired median Δ” is the median over 10,000 paths of (arm wealth − baseline wealth) at 95; the band is the 10th and 90th percentile of that per-path difference. The last column counts paths on which the arm reached 95 with money left and the baseline did not; the reverse never happens.

Results: persona B, $600,000 spending $67,000 a year (marginal plan)

Baseline success 70.5%: the plan is close to the line, and the same six moves now rescue many more paths.

ArmRetireSaving / yrSpending / yr Success to 95Δ successPer unit Median at 95p10 at 95 Paired median ΔPaired p10 … p90 Arm ends higherPaths only the arm survives
Baseline: retire at 6565$30,000$67,00070.5%——$434,274$0————
Retire at 66 (one more year)66$30,000$67,00081.0%+10.5 pp+10.5 pp / yr$723,926$0+$265,990$0 … +$583,49781.0%1,047
Retire at 67 (two more years)67$30,000$67,00088.7%+18.2 pp+9.1 pp / yr$1,007,084$0+$527,550$0 … +$1,141,79288.7%1,819
Save $40,000 a year ($10,000 more)65$40,000$67,00076.5%+6.0 pp+6.0 pp / $10k/yr$598,619$0+$157,244$0 … +$346,86776.5%604
Save $50,000 a year ($20,000 more)65$50,000$67,00081.6%+11.1 pp+5.5 pp / $10k/yr$766,967$0+$317,101$0 … +$693,75281.6%1,110
Spend $5,000 a year less65$30,000$62,00082.7%+12.2 pp+12.2 pp / $5k/yr$709,795$0+$250,610$0 … +$442,02282.7%1,217
Spend $10,000 a year less65$30,000$57,00091.8%+21.3 pp+10.7 pp / $5k/yr$982,801$55,007+$510,387+$55,007 … +$885,85291.8%2,133

The gap over time

The engine reports each path’s wealth year by year, so the paired difference can be followed from the retirement date onwards. The tables show the median per-path gap (arm minus baseline, today’s dollars) at six ages and the share of paths on which the arm is ahead at that age. The work arms open their gap in the first year of delay; the saving arms have theirs in place by 65 and then let it compound; the spending cuts start from nothing and widen every year.

Persona A

ArmAge 66Age 67Age 70Age 75Age 85Age 95
Retire at 66 (one more year)+$91,366
100.0% higher
+$94,795
100.0% higher
+$105,845
100.0% higher
+$127,788
100.0% higher
+$184,009
99.9% higher
+$266,760
98.1% higher
Retire at 67 (two more years)+$91,366
100.0% higher
+$186,031
100.0% higher
+$208,046
100.0% higher
+$250,410
100.0% higher
+$361,198
100.0% higher
+$524,123
99.0% higher
Save $40,000 a year ($10,000 more)+$56,916
100.0% higher
+$58,976
100.0% higher
+$65,981
100.0% higher
+$79,451
100.0% higher
+$114,677
99.8% higher
+$166,227
97.6% higher
Save $50,000 a year ($20,000 more)+$113,832
100.0% higher
+$117,953
100.0% higher
+$131,963
100.0% higher
+$158,901
100.0% higher
+$229,353
99.9% higher
+$332,454
98.2% higher
Spend $5,000 a year less+$5,076
100.0% higher
+$10,335
100.0% higher
+$27,413
100.0% higher
+$60,615
100.0% higher
+$148,557
99.9% higher
+$276,177
98.8% higher
Spend $10,000 a year less+$10,152
100.0% higher
+$20,670
100.0% higher
+$54,825
100.0% higher
+$121,229
100.0% higher
+$297,114
100.0% higher
+$552,748
99.8% higher

Persona B

ArmAge 66Age 67Age 70Age 75Age 85Age 95
Retire at 66 (one more year)+$98,472
100.0% higher
+$102,168
100.0% higher
+$114,078
100.0% higher
+$137,727
100.0% higher
+$196,840
96.4% higher
+$265,990
81.0% higher
Retire at 67 (two more years)+$98,472
100.0% higher
+$200,500
100.0% higher
+$224,227
100.0% higher
+$269,878
100.0% higher
+$387,168
98.6% higher
+$527,550
88.7% higher
Save $40,000 a year ($10,000 more)+$56,916
100.0% higher
+$58,976
100.0% higher
+$65,981
100.0% higher
+$79,451
100.0% higher
+$114,382
94.1% higher
+$157,244
76.5% higher
Save $50,000 a year ($20,000 more)+$113,832
100.0% higher
+$117,953
100.0% higher
+$131,963
100.0% higher
+$158,901
100.0% higher
+$228,770
96.3% higher
+$317,101
81.6% higher
Spend $5,000 a year less+$5,076
100.0% higher
+$10,335
100.0% higher
+$27,413
100.0% higher
+$60,613
100.0% higher
+$146,756
96.5% higher
+$250,610
82.7% higher
Spend $10,000 a year less+$10,152
100.0% higher
+$20,670
100.0% higher
+$54,825
100.0% higher
+$121,226
100.0% higher
+$293,872
98.8% higher
+$510,387
91.8% higher

Median of the per-path difference at each age, with the share of paths on which the arm is ahead. Ages are year-end balances; age 66 is the end of the first year after the baseline retires.

Why a year of work moves success more than the same dollars saved

A year of delay does three things at once, and only one of them is what “saving more” does. First, it adds a year of contributions: $30,000 more goes in. Second, it removes a year of withdrawals: the $60,000 that would have come out at 65 — the full amount, because Social Security has not started yet — stays invested. Third, it shortens the horizon the portfolio has to fund, from 30 years of retirement to 29. With zero returns and zero inflation the first two alone put the retire-at-66 arm $90,000 ahead of the baseline at the end of age 66 in persona A ($97,000 in persona B), a figure the generator checks against the engine before publication; five years of saving $10,000 more puts the save-more arm $50,000 ahead at 65. Compounding then works on both, but the delay’s head start is larger and the horizon it has to carry is shorter.

The success rate shows the combined effect. In persona A, one year of work was worth +1.6 pp, 1.5× the +1.1 pp of a $10,000-a-year saving step; a second year added +0.9 pp more, and a second saving step +0.6 pp. In persona B the year of work was worth +10.5 pp against +6.0 pp for the saving step (1.7×), with the second year adding +7.7 pp and the second saving step +5.1 pp. At the median the year of work ended +$266,760 ahead at 95 in persona A and +$265,990 in persona B, against +$166,227 and +$157,244 for the saving step; in the bad tail (the 10th percentile of the per-path difference) the year of work was worth +$127,182 and $0, the saving step +$78,614 and $0.

Where spending cuts stand

A spending cut is the mirror image of a saving step: nothing at 65, then a little every year for life. $5,000 a year less is $150,000 of withdrawals avoided over 30 years in today’s dollars, more than the $50,000 of a saving step or the $90,000 first-year effect of a delay, but it arrives late, when much of it can no longer compound and, on the paths that fail, after the damage is done. In persona A the cut added +2.3 pp of success per $5,000 (+3.3 pp for $10,000), more than the saving step’s +1.1 pp and more than the year of work’s +1.6 pp. In persona B it added +12.2 pp (+21.3 pp for $10,000), more than the saving step’s +6.0 pp and more than the year of work’s +10.5 pp. Where the cut stands out is the median: at 95 it ended +$276,177 ahead in persona A and +$250,610 in persona B, the largest single-unit median gain of the three levers in one persona, because a cut that runs for 30 years is worth most on the paths that last the full 30 years.

The marginal plan

Every lever is worth more when the plan is close to the line. Persona B’s baseline succeeds in 70.5% of paths, so 2,952 paths are failing and many of them by a little; persona A’s 96.5% leaves only 349 to rescue, most of them badly. That is why the same year of work rescued 1,047 paths in persona B and 161 in persona A, and why the per-unit column is 6.5× larger for work, 5.7× for saving and 5.3× for spending in B than in A. The ranking of the levers per unit, spend less > work longer > save more, is the same in both; what changes is how much each is worth. The 10th-percentile wealth at 95 is $0 in every persona-B arm whose success rate is below 90% (more than one path in ten still fails), so the count of rescued paths is the better tail measure: 1,047 of 10,000 for one year of work, 1,819 for two, 604 and 1,110 for the saving steps, 1,217 and 2,133 for the spending cuts.

What it means

Download CSV (2 personas × 7 arms with paired statistics) Download JSON (full results, by-year paired series)

CC-BY-4.0 — free for any use including republication and journalism, with attribution to QuantCalc Research.

See the three levers on your own numbers

The free Monte Carlo planner runs the same engine and the same forecast source on your balance, saving rate, spending and retirement age — no signup. Open it with persona A’s plan, then move the retirement age, the monthly contribution or the annual spending and watch the success rate.

Open the free planner →

Methodology

Engine and plan. Every number comes from QuantCalc’s C Monte Carlo engine through its public simulate contract, running the constant-real withdrawal rule under the JPMorgan LTCMA 2026 capital-market assumptions (am.jpmorgan.com, checked 2026-09-10; as of 2025-11-01; five asset classes, expected nominal returns US Equity 6.7%, International Equity 7.4%, Bonds 4.8%, Real Estate 6.5%, Cash 3.2%) with 2.5% inflation. The saver is 60 with $800,000 (persona A) or $600,000 (persona B), contributes $30,000 a year in today’s dollars until retirement, spends $60,000 or $67,000 a year in today’s dollars from retirement to 95, and receives $30,000 a year of Social Security from 67, all raised with inflation. The mix is 45/15/40 US equity / international / bonds, rebalanced annually; no pension, no taxes. Persona B’s balance and spending were chosen so its baseline succeeds in roughly seven paths in ten.

Arms. Retire at 66 and at 67 (contributions continue, withdrawals start later, Social Security unchanged); contribute $40,000 and $50,000 a year for the five working years; spend $5,000 and $10,000 a year less. “Success gained per unit” divides the arm’s success-rate difference by its unit count: years worked, $10,000-a-year saving steps, $5,000-a-year spending steps.

Paths and pairing. 10,000 quasi-Monte Carlo paths per arm from the engine’s Sobol sequence. The contract returns the yearly values of at most 30 paths per call, so each arm is run as 334 calls that read one 10,000-path run of the engine’s randomized Sobol sequence 30 paths at a time by row offset (offsets 0, 30, …, 9990), which reproduces exactly the path set a single 10,000-path call uses. Every arm shares the 60→95 horizon, so the arms of a persona see identical market draws and every difference is taken path by path. Reported values are the engine’s real (deflated) year-end balances; a path is a success if it never reaches $0 during retirement, and a ruined path’s terminal value is $0.

Verification before publication. (1) With zero returns and zero inflation, the retire-at-66 arm led the baseline by exactly one contribution plus one withdrawal ($90,000 / $97,000) at the end of age 66, the retire-at-67 arm led the retire-at-66 arm by the same at 67, five years of $10,000 more saving led by $50,000 at 65, a $5,000 cut led by $5,000 after its first year, and the baseline’s draw fell by $30,000 when Social Security began at 67 — all to within $128 on 30 paths (the engine floors volatility at 0.01%). (2) On the real runs, the work and spending arms were bit-identical to the baseline through age 65 and differed on every path from the first year that differs; the saving arms were above the baseline on every path from year one. (3) The baseline paired against itself is all ties. (4) A re-issued batch reproduced its 30 paths bit for bit. (5) In every batch of every arm, the count of paths ending above $0 equalled the engine’s own survivor count. (6) For all 14 arms, the success rate and the 10th/50th/90th-percentile terminal wealth of the batched paths matched a single 10,000-path call to within one cent. (7) No arm ended below its baseline on any path, and the tied paths are exactly those on which both arms ran out. At render time the generator re-asserts these records, that each paired band brackets its median, that the shares sum to one, and that the survival crossovers reconcile with the two success counts.

Reproducibility. The generator’s run mode drives a local build of the engine and writes the raw results to a committed snapshot; its render mode writes this page, the CSV and the JSON from that snapshot in one pass, so the text and the data cannot disagree.

Assumptions and limitations

Frequently asked questions

Does working one more year or saving more move retirement success more?

Per unit, the order was the same in both personas: $5,000 a year less spent moved success the most, then a year of work, then $10,000 a year more saved for five years. Working longer beat saving more in both. For a 60-year-old with $800,000 on a 60/40 plan, saving $30,000 a year, spending $60,000 a year with $30,000 of Social Security from 67, retiring at 65 succeeded to 95 in 96.5% of 10,000 simulated paths. Retiring at 66 instead lifted that to 98.1% (+1.6 pp for one year), saving $10,000 a year more for the five working years lifted it to 97.6% (+1.1 pp), and spending $5,000 a year less lifted it to 98.8% (+2.3 pp). In the marginal persona ($600,000, spending $67,000, baseline 70.5%) the same three moves gave +10.5 pp, +6.0 pp and +12.2 pp. On the same market paths a year of work ended $266,760 higher at 95 at the median in persona A, against $166,227 for the extra saving and $276,177 for the spending cut.

Why does one more year of work do so much more than the same effort saved?

Because a year of delay does three things at once. It adds a year of contributions ($30,000), it removes a year of withdrawals ($60,000 at 65, before Social Security starts), and it shortens the retirement the portfolio has to fund from 30 years to 29. With zero returns the first two alone are worth $90,000 at age 66 in persona A, which the generator verifies against the engine; five years of saving $10,000 more is $50,000 at 65. The third effect, the shorter horizon, has no dollar figure but shows up in the success rate: in persona A one year of work was worth 1.5x the success gain of a $10,000-a-year saving step, and in persona B 1.7x.

How does spending less compare with working longer?

A $5,000-a-year cut is small in any one year but runs for the whole retirement: $150,000 of withdrawals avoided over 30 years in today's dollars, back-loaded rather than front-loaded. In persona A it added +2.3 pp of success (+3.3 pp for $10,000) against +1.6 pp for one year of work, so per unit a year of work was worth 0.7x a $5,000 cut. In persona B, where the plan is marginal, the cut added +12.2 pp (+21.3 pp for $10,000) against +10.5 pp for a year of work, a ratio of 0.9x. At the median the cut ended $276,177 higher at 95 in persona A and $250,610 in persona B, against $266,760 and $265,990 for the year of work.

Does the answer change when the plan is marginal?

The ranking held (spend less > work longer > save more per unit in persona B, spend less > work longer > save more in persona A), but every lever moved success far more when the baseline was 70.5% than when it was 96.5%: one year of work was worth +10.5 pp in persona B against +1.6 pp in persona A, $10,000 a year more saving +6.0 pp against +1.1 pp, and $5,000 a year less spending +12.2 pp against +2.3 pp. A comfortable plan has few failing paths left to rescue; a marginal plan has many near the line. The 10th-percentile wealth at 95 is $0 in every persona-B arm whose success rate is below 90% (more than one path in ten still fails), so the count of rescued paths is the better tail measure: 1,047 of 10,000 for one year of work, 1,819 for two, 604 and 1,110 for the saving steps, 1,217 and 2,133 for the spending cuts.

Does retiring later change the Social Security benefit in these runs?

No. Social Security is $30,000 a year from 67 in every arm, so the retirement date moves only when contributions stop and withdrawals start. Working to 66 or 67 and claiming at 67 are separate decisions here; a later claiming age would raise the benefit by the delayed-retirement credits and is the subject of the site's Social Security claiming study. Holding the benefit still isolates the work lever itself.

Are these numbers real dollars, and are taxes included?

All dollar figures are in today's dollars: the engine raises contributions, spending and Social Security with 2.5% inflation and deflates every reported balance back to today. Nothing is after tax, there is no pension, and every arm spends its constant-real amount every year; the study isolates the three levers and nothing else. Returns follow the JPMorgan LTCMA 2026 capital-market assumptions the site's planner uses (https://am.jpmorgan.com/us/en/asset-management/adv/insights/portfolio-insights/ltcma/ (checked 2026-09-10)), sampled with quasi-Monte Carlo, 10,000 paths per arm, identical draws for every arm of a persona.

Related research

Changelog

Last updated 2026-09-08. Dataset license: CC-BY-4.0. QuantCalc is an independent retirement-planning research project. The JPMorgan LTCMA 2026 name identifies the published capital-market assumptions the engine uses; QuantCalc is not affiliated with, endorsed by, or sponsored by that firm, and all trademarks belong to their respective owners. Educational research, not financial, tax, or legal advice.

Cite this research study

QuantCalc Research (2026). Work One More Year or Save More: Which Moves Retirement Success More? (2026). https://quantcalc.app/research/work-one-more-year-vs-save-more-2026/ (accessed <date>).

BibTeX
@misc{quantcalc2026workonemoreyearorsavemorewhichmovesretir,
  title  = {Work One More Year or Save More: Which Moves Retirement Success More? (2026)},
  author = {{QuantCalc Research}},
  year   = {2026},
  url    = {https://quantcalc.app/research/work-one-more-year-vs-save-more-2026/},
  note   = {Accessed <date>}
}

Machine-readable citation metadata (schema.org identifier and citation fields) is embedded in this page's JSON-LD, at the stable identifier https://quantcalc.app/research/work-one-more-year-vs-save-more-2026/.

Get new research and dataset updates