Lumber Return Calculator
The formula
What the lumber return tells you
Exactly what lumber return earned: total return, the annualised CAGR that makes it comparable, and the split between price gain and income.
Calculation: Total return = (sell + income − buy) ÷ buy; CAGR = ((sell + income) ÷ buy)^(1/years) − 1. Enter your inputs and every substitution is shown below the result.
Reading the result
Compare with the boring alternative over the same window — the verdict bands anchor to long-run market returns; income-heavy gains are usually steadier than price-only ones.
Rules of thumb: Long-run real equity return sits near 6–7 % nominal CAGR plus inflation; bonds run 2–4 points lower.
Limitations and best practice
Ignoring the timing of income (reinvested vs spent) can overstate a CAGR by a few tenths; dividends spent as cash belong outside the ending value.
This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Frequently asked questions
Why does CAGR differ from average yearly return?
Are taxes included?
Source & methodology
Time-weighted return arithmetic per CFA Institute conventions.
Lumber Return: the number, the method and the caveats
Capital decisions deserve better than a gut feeling — this page gives you the arithmetic to defend one. Searchers land on a Lumber Return page for three reasons — to plan, to compare options, and to check that somebody else’s arithmetic is honest. This tool serves all three, and everything after the calculator explains the model instead of hiding it.
Return and risk arrive as a package in Lumber Return. A result of 16.94% means little until you ask what variance sits behind it, how it compares with the boring alternative (the companion tools above compute exactly that comparison), and whether the inputs assume the good scenario or the expected one.
The number itself is the easy part. What takes judgement is knowing which inputs are facts in your situation and which are guesses wearing a decimal point — a distinction this page makes explicit for every field above.
Nothing below is stock text pasted around a number: the worked example computes total return = 16.94% from this tool’s own defaults, and the sensitivity section ranks the inputs that move the result — Buy price / invested first, at ≈76.7 % of the headline for a ten-percent error either way in that input — which is the thread the rest of this guide pulls on.
The Lumber Return formula, explained
One formula, published in full: Total return = (sell + income − buy) ÷ buy; CAGR = ((sell + income) ÷ buy)^(1/years) − 1. Anything you can read, you can reproduce in a spreadsheet, and that reproducibility is the whole point of printing it rather than hiding it behind a button.
Buy price / invested ($) (example value 23,500) is a measured number in the unit named by the label; the formula does not convert for you. If your source quotes a figure before and after some deduction, decide which one the formula wants and be consistent for every field.
Sell price / value now ($) (example value 26,500) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. Use the figure exactly as the source document states it, not a rounded memory of it — an omitted line is the classic silent error.
Holding period (years) (example value 6) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. If the period is partial, decide whether you mean elapsed or planned time and keep that meaning across every field.
Income received over the hold ($) (example value 980) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. Keep every money input in the same currency; mixing systems quietly corrupts the comparison.
Lumber Return on the example inputs: the complete substitution
The tool prints its own working; this is the same arithmetic on the example values, reproduced so you can follow it by hand. Starting figures: Buy price / invested ($), Sell price / value now ($), Holding period (years), Income received over the hold ($). Run to the end, the total return resolves to 16.94% — Modest gain — check it after inflation and costs on the bands this tool uses.
- Ending value incl. income = $26,500.00 + $980.00 = $27,480.00
- Total return = (27,480.00 − 23,500.00) ÷ 23,500.00 = 16.94 %
- CAGR = (27,480.00 ÷ 23,500.00)^(1/6.0) − 1 = 2.64 % a year
Annualised (CAGR) — 2.64%. Read next to the headline, this is the figure that shows the shape of the trade-off.
Net profit — $3,980.00. If your inputs change, this is usually the first companion figure to move.
Value multiple — 1.17 ×. This is the number experienced users quote when the headline alone would mislead.
Income share of gain — 24.6%. If your inputs change, this is usually the first companion figure to move.
Overwrite any input above and every line of this example updates with it — the substitution is live, not a screenshot of somebody else’s numbers.
How far Lumber Return can reasonably move
Single-point answers invite false confidence, so the same engine was run across a band around the input that matters most here. Each row is a full recalculation of Lumber Return, not an interpolation.
| Buy price / invested setting | Total return |
|---|---|
| 80 % of the example value | 46.17% |
| 90 % of the example value | 29.93% |
| example inputs | 16.94% |
| 110 % of the example value | 6.31% |
| 120 % of the example value | -2.55% |
That spread — -2.55% at the low end, 46.17% at the high — is what a careful read of Lumber Return looks like: a band you can state out loud, with the reason for each edge. Reproduce it in the form above by editing Buy price / invested alone; the substitution steps will follow your figures exactly.
Sensitivity: which inputs change Lumber Return the most
Nobody should have to guess which input matters. The engine was re-run once per field below — ten percent up, ten percent down, everything else frozen — and the results ranked by how far they moved the total return. It is the fastest honest answer to “what matters most in Lumber Return?” — and it is specific to these defaults, because sensitivity moves with the starting point.
- Nudge Buy price / invested by ±10 % and Lumber Return lands between 6.31% and 29.93% (sensitivity ≈76.7 %)
- Sell price / value now: ten percent up gives 28.21%, ten percent down gives 5.66% — ≈66.6 % of the total return either way
- Nudge Income received over the hold by ±10 % and Lumber Return lands between 16.52% and 17.35% (sensitivity ≈2.5 %)
Buy price / invested is the dominant lever here: ten percent either way moves the result by about 76.7 %, from 6.31% to 29.93%. Measure that input from a document rather than from memory, and treat Sell price / value now as the second priority (≈66.6 % per ten percent). Everything below that can stay approximate, which is a licence to stop chasing data that would not change the decision.
Is your Lumber Return good — reading the result bands
A number on its own is trivia; a number against a range is intelligence. On the example inputs the band reads “Modest gain — check it after inflation and costs”; your own figures place you on a different rung of the same ladder. Before treating the band as fact, note its width: ten percent either way on Buy price / invested already spans 6.31% to 29.93%. The practical reading rules: compare against your own history before comparing against other people; treat band boundaries as zones, not walls — one point on the wrong side of a threshold rarely changes a real outcome; and when a companion output contradicts the headline, believe the pair.
Where Lumber Return sits next to similar measures: this tool answers “how much is the Lumber Return”, while the related calculators answer “what do I do about it”. Reading the result alone tends to over-weight a single snapshot; pairing it with the companion tools above turns the number into a decision.
How people get Lumber Return wrong
Ignoring the timing of income (reinvested vs spent) can overstate a CAGR by a few tenths; dividends spent as cash belong outside the ending value. This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Using stale inputs. Lumber Return is only as current as the numbers behind it — an estimate carried over from a previous season, rate table or report quietly biases every output. Re-measure the inputs first; that single habit fixes more bad Lumber Return figures than any formula change.
Attention is also misallocated between fields. Having measured this engine, we can say where it belongs: Buy price / invested first, everything else second.
The subtlest error is answering the wrong question precisely. Confirm that total return is actually the quantity your decision needs — the arithmetic is flawless either way, which is what makes the mistake invisible.
Six things to confirm before acting on Lumber Return
- Verify each input against its original source document, not memory.
- State, in one sentence, which convention each rate, unit or period in the form is using.
- Re-verify Buy price / invested against a source document — ten percent of error there moves the headline by ≈76.7 %.
- Confirm the example values are plausible for your own situation before replacing them.
- Note the date and the inputs beside the number so the figure can be audited later.
- Run the ±10 % stress on the top two levers and check that your conclusion survives both.
Step by step: getting a trustworthy Lumber Return out of this tool
Using a calculator well sounds trivial, but the difference between a decision-grade figure and a throwaway one lives entirely in the routine. The routine for Lumber Return takes a minute to learn and applies to every input above.
Step 1 — one document, one pass. Open the statement, label or record that holds buy price / invested ($), sell price / value now ($), holding period (years), income received over the hold ($) and transcribe straight into the form. Transcription from a single source removes the mismatch errors that appear when figures are assembled from three different places. Repeating a calculation with the same numbers proves only that the arithmetic is reliable — which is worth knowing.
Step 2 — compute the version you would not be embarrassed by. If a stranger audited your inputs, which set would you hand over? Enter that set, read the result, and treat everything else as upside. A result worth acting on survives having its two shakiest inputs halved.
Step 3 — measure what deserves measuring. The ranked levers above tell you where a careful figure pays off. Everything else can stay approximate, which is a licence to stop hunting for data you do not need. A figure with a date beside it becomes evidence; without one it stays an anecdote.
Step 4 — run the scenario trio. Expected, pessimistic, optimistic. The gap between pessimistic and expected is the number to plan against; the optimistic result is useful only as a ceiling. Numbers are cheap to produce and expensive to retract; the extra minute is the cheapest insurance available.
Step 5 — save the story with the figure. A number without its inputs and its date is unusable within a quarter. Record 16.94%, the assumptions behind it, and today’s date; your future self will be auditing a stranger’s arithmetic. When two sources disagree, it is almost never the arithmetic that differs.
Where Lumber Return matters in practice
Investing & Markets arguments end at arithmetic or they do not end. Lumber Return is the arithmetic: 16.94% on the example inputs, reproducible by anyone who types the same numbers. When in doubt, prefer the boring input: the interesting one is usually the one you misread.
Used properly this is a five-minute filter that saves weeks. Compute Lumber Return, reject what fails, and only then bring in the expensive analysis for the survivors. When two sources disagree, it is almost never the arithmetic that differs.
Treat Lumber Return like a smoke alarm rather than a painting — its value is in being tested periodically, not in being admired once. Half of a good calculation is knowing which input you would hate to be wrong about.
People also ask about Lumber Return
What affects Lumber Return the most?
The short answer: Buy price / invested. The longer answer is the sensitivity table on this page, where every numeric input was probed by ten percent and the total return recalculated — Buy price / invested moved it furthest, by roughly 76.7 % (6.31% to 29.93%).
Which matters more: sell price / value now or buy price / invested?
By the numbers, Buy price / invested: a ten-percent change in it moves the result ≈76.7 %, versus ≈66.6 % for Sell price / value now. Spend your measuring effort in that order — precision on the weaker lever buys almost nothing.
What is a typical Lumber Return?
With the example inputs on this page the result is 16.94%, labelled “Modest gain — check it after inflation and costs”. “Typical” varies with situation, which is why every result here ships with its verdict band and its sensitivity list: they turn one figure into a range you can locate yourself inside.
How do I calculate Lumber Return by hand?
Use the stated model — Total return = (sell + income − buy) ÷ buy; CAGR = ((sell + income) ÷ buy)^(1/years) − 1 — and substitute in the order the tool prints (it starts from Ending value incl. income = $26,500.00 + $980.00 = $27,480.00). On the example inputs the hand route lands on 16.94%, exactly what the calculator shows. A spreadsheet reproduces it in two or three cells; doing it once by hand is what makes the automated answer trustworthy.
What happens to Lumber Return if buy price / invested changes by 10 %?
Try it in the form above and the printed substitution will follow you; the pre-computed answer for the defaults is 6.31% to 29.93% across the ten-percent probe, i.e. ≈76.7 % sensitivity on the total return.
Is the Lumber Return result of 16.94% good or bad?
Neither, on its own — the label “Modest gain — check it after inflation and costs” is the band this figure falls in for the example inputs, and your own inputs will place you elsewhere on the same ladder. Judge the number against your history and your alternatives, and remember that a ten-percent error in Buy price / invested alone moves it by ≈76.7 %.
How do I calculate Lumber Return manually?
Write down the inputs, then follow the printed steps in order — Total return = (sell + income − buy) ÷ buy; CAGR = ((sell + income) ÷ buy)^(1/years) − 1. A spreadsheet replicates it with two or three cells. The manual route is worth doing once to build intuition; after that the calculator saves time and eliminates transcription slips.
What affects Lumber Return the most?
Sensitivity depends on where you start, but the inputs Buy price / invested ($) and Sell price / value now ($) typically move Lumber Return further than the rest because they enter the formula multiplicatively. If you can only measure two things well, measure those and hold the others at conservative defaults.
Why does CAGR differ from average yearly return?
CAGR compounds — it is the single steady rate that turns the start into the end, while arithmetic averages flatter volatile paths.
Are taxes included?
No, this is the pre-tax picture; subtract tax drag on gains and income before comparing with a tax-sheltered alternative.
Does this Lumber Return tool store my numbers?
No. The entire calculation runs in your browser session; nothing entered above is transmitted or saved, which is the correct behaviour for sensitive Investing & Markets figures and the reason you can re-run this page as often as you like.
Glossary for Lumber Return
- Annualised (CAGR)
- 2.64% for the Lumber Return worked case; it sits next to the main result because it carries context the headline leaves out.
- Net profit
- $3,980.00 on the example inputs — a companion figure printed beside the headline of Lumber Return so that no result is read in isolation.
- Value multiple
- 1.17 × in the default Lumber Return calculation — one of the secondary figures an experienced reader checks before trusting the primary number.
- Total return
- The primary output of this tool: 16.94% for the default inputs, computed exactly from Total return = (sell + income − buy) ÷ buy; CAGR = ((sell + income) ÷ buy)^(1/years) − 1.
- Worked example
- Every substitution in order, from the example inputs to 16.94% — the audit trail for the headline figure.
- Verdict band
- The plain-language label — here “Modest gain — check it after inflation and costs” — mapping the computed figure onto experience-based ranges for Investing & Markets.
- Sensitivity (±10 %)
- How far the Lumber Return moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
Methodology, sources and limits
The model is published arithmetic implemented exactly as written: Total return = (sell + income − buy) ÷ buy; CAGR = ((sell + income) ÷ buy)^(1/years) − 1. Source of record: Time-weighted return arithmetic per CFA Institute conventions. Where a professional version of this calculation differs, it differs in inputs and jurisdiction-specific coefficients, not in the algebra — which is why re-checking your inputs beats hunting for a second calculator.
Nothing here replaces a qualified professional, and nothing here is approximate either — the arithmetic is exact, and the honesty is in the inputs you supply. The design constraint was set by usefulness rather than by comfort: an estimate you can interrogate beats an answer you have to trust.
Turning this Lumber Return into a decision
Pair this figure with the companion outputs above — the headline sizes the prize, the companions describe the risk.
The audience here is investors and founders comparing opportunities on equal terms. Everything you need to defend the result — formula, substitution, sensitivity, source — is printed above, so the only remaining variable is the honesty of your inputs.