reit_denominator
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 2026-10-02, from payout-ratio-over-100-percent.
| date | quarter_label | eps_payout_pct | ffo_proxy_payout_pct |
|---|---|---|---|
| 2024-03-31 | Mar 2024 | 479 | 90 |
| 2024-06-30 | Jun 2024 | 261 | 79 |
| 2024-09-30 | Sep 2024 | 255 | 79 |
| 2024-12-31 | Dec 2024 | 345 | 86 |
| 2025-03-31 | Mar 2025 | 284 | 83 |
| 2025-06-30 | Jun 2025 | 367 | 86 |
| 2025-09-30 | Sep 2025 | 233 | 78 |
| 2025-12-31 | Dec 2025 | 248 | 80 |
- Rows × columns
- 8 × 4
- Period covered
- to
- 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 |
|---|---|---|---|
date |
date | 2024-03-31 to 2025-12-31 | |
quarter_label |
text | 8 distinct values (Dec 2024, Dec 2025, Jun 2024…) | |
eps_payout_pct |
number | 233 to 479 | percent |
ffo_proxy_payout_pct |
number | 78 to 90 | percent |
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.
SELECT
toString(period_end) AS date,
formatDateTime(period_end, '%b %Y') AS quarter_label,
round(100 * abs(toFloat64(dividends_q)) / toFloat64(net_income_q), 0) AS eps_payout_pct,
round(100 * abs(toFloat64(dividends_q)) / (toFloat64(net_income_q) + toFloat64(dep_amort_q)), 0) AS ffo_proxy_payout_pct
FROM
(
SELECT
period_end,
argMax(net_income, (filing_date, _ingest_time)) AS net_income_q,
argMax(depreciation_depletion_and_amortization, (filing_date, _ingest_time)) AS dep_amort_q,
argMax(dividends, (filing_date, _ingest_time)) AS dividends_q
FROM global_markets.stocks_cash_flow_statements
WHERE has(tickers, 'O')
AND timeframe = 'quarterly'
AND period_end >= '2024-01-01'
AND period_end <= '2025-12-31'
GROUP BY period_end
HAVING net_income_q > 0 AND dep_amort_q > 0
)
ORDER BY period_end
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.