fcf_quarters
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 2026-10-24, from ibm-dividend-2026-forecast.
| quarter_end | quarter_label | ocf_bn | capex_bn | fcf_bn | dividends_bn |
|---|---|---|---|---|---|
| 2024-03-31 | 31.03.2024 | 4.17 | 0.24 | 3.93 | 1.52 |
| 2024-06-30 | 30.06.2024 | 2.06 | 0.22 | 1.84 | 1.54 |
| 2024-09-30 | 30.09.2024 | 2.88 | 0.29 | 2.6 | 1.54 |
| 2024-12-31 | 31.12.2024 | 4.33 | 0.3 | 4.03 | 1.55 |
| 2025-03-31 | 31.03.2025 | 4.37 | 0.24 | 4.13 | 1.55 |
| 2025-06-30 | 30.06.2025 | 1.7 | 0.21 | 1.49 | 1.56 |
| 2025-09-30 | 30.09.2025 | 3.08 | 0.26 | 2.83 | 1.57 |
| 2025-12-31 | 31.12.2025 | 4.04 | 0.38 | 3.66 | 1.57 |
- Rows × columns
- 8 × 6
- 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 |
|---|---|---|---|
quarter_end |
date | 2024-03-31 to 2025-12-31 | |
quarter_label |
text | 8 distinct values (30.06.2024, 30.06.2025, 30.09.2024…) | |
ocf_bn |
number | 1.7 to 4.37 | |
capex_bn |
number | 0.21 to 0.38 | |
fcf_bn |
number | 1.49 to 4.13 | |
dividends_bn |
number | 1.52 to 1.57 |
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 quarter_end,
formatDateTime(period_end, '%d.%m.%Y') AS quarter_label,
round(ifNull(argMax(toFloat64(net_cash_from_operating_activities), filing_date), 0) / 1e9, 2) AS ocf_bn,
round(abs(ifNull(argMax(toFloat64(purchase_of_property_plant_and_equipment), filing_date), 0)) / 1e9, 2) AS capex_bn,
round((ifNull(argMax(toFloat64(net_cash_from_operating_activities), filing_date), 0)
- abs(ifNull(argMax(toFloat64(purchase_of_property_plant_and_equipment), filing_date), 0))) / 1e9, 2) AS fcf_bn,
round(abs(ifNull(argMax(toFloat64(dividends), filing_date), 0)) / 1e9, 2) AS dividends_bn
FROM global_markets.stocks_cash_flow_statements
WHERE has(tickers, 'IBM')
AND timeframe = 'quarterly'
AND period_end >= '2024-01-01'
AND period_end <= today()
GROUP BY period_end
ORDER BY period_end
Arbeiten Sie mit diesen Daten in Ihrem KI-Assistenten
Öffnet sich abfragebereit, mit den Daten dieser Seite. Kostenlos, ohne Konto.