cagr
Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-09-25, from xom-dividend-increase-history.
| horizon | start_ex_label | start_quarterly_usd | latest_quarterly_usd | cagr_pct | growth_multiple |
|---|---|---|---|---|---|
| 5-year span | Nov 2021 | 0.88 | 1.03 | 3.2 | 1.17 |
| 10-year span | Nov 2016 | 0.75 | 1.03 | 3.22 | 1.37 |
| 20-year span | Nov 2006 | 0.32 | 1.03 | 6.02 | 3.22 |
- Rows × columns
- 3 × 6
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
horizon |
text | 3 distinct values (10-year span, 20-year span, 5-year span) | |
start_ex_label |
text | 3 distinct values (Nov 2006, Nov 2016, Nov 2021) | |
start_quarterly_usd |
number | 0.32 to 0.88 | US dollars |
latest_quarterly_usd |
number | every row is 1.03 | US dollars |
cagr_pct |
number | 3.2 to 6.02 | percent |
growth_multiple |
number | 1.17 to 3.22 |
Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.
Run it yourself
This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.
WITH quarterly AS
(
SELECT
ex_dividend_date AS ex_date,
toFloat64(max(cash_amount)) AS rate
FROM global_markets.stocks_dividends
WHERE ticker = 'XOM'
AND frequency = 4
AND ex_dividend_date >= '2000-01-01'
AND ex_dividend_date <= today()
GROUP BY ex_dividend_date
),
series AS
(
SELECT
groupArray(ex_date) AS ds,
groupArray(rate) AS rs
FROM
(
SELECT ex_date, rate
FROM quarterly
ORDER BY ex_date ASC
)
),
spans AS
(
SELECT
ds,
rs,
yrs,
rs[length(rs)] AS end_rate,
greatest(arrayFirstIndex(d -> d >= addYears(ds[length(ds)], -1 * toInt32(yrs)), ds), 1) AS idx
FROM series
ARRAY JOIN [5, 10, 20] AS yrs
)
SELECT
concat(toString(yrs), '-year span') AS horizon,
formatDateTime(ds[idx], '%b %Y') AS start_ex_label,
round(rs[idx], 4) AS start_quarterly_usd,
round(end_rate, 4) AS latest_quarterly_usd,
round((pow(end_rate / rs[idx], 1.0 / yrs) - 1) * 100, 2) AS cagr_pct,
round(end_rate / rs[idx], 2) AS growth_multiple
FROM spans
ORDER BY yrs ASC
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