Procter & Gamble (PG) Cash from Operations (2009 - 2026)
Procter & Gamble (PG) recorded Cash from Operations of $5.13 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 2.9% from $4.99 billion a year earlier and up 26.8% from the prior quarter.
Procter & Gamble (PG) Cash from Operations (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Procter & Gamble reported Cash from Operations of $19.56 billion, up 9.8% from FY2025.
- Annual Cash from Operations has a five-year compound annual growth rate of 1.3% (FY2021 to FY2026).
- Across earlier fiscal years, Cash from Operations came in at $17.82 billion in FY2025 (-10.2%), $19.85 billion in FY2024 (+17.8%), $16.85 billion in FY2023 (+0.7%) and $16.72 billion in FY2022 (-9.0%).
- Quarterly Cash from Operations has ranged from $3.25 billion in fiscal Q3 2022 to $5.75 billion in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Cash from Operations has increased for four consecutive quarters, with growth averaging 0.1% over the last eight quarters.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 43.8% in fiscal Q4 2023, against a decline of 30.2% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.05 billion (Q3 2026), $4.97 billion (Q2 2026) and $5.41 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 5.13 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 995.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 576.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 688.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 908.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 286.80 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 111.67 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 102.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 45.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.13 Bn |
| Mar 31, 2026 | 4.05 Bn |
| Dec 31, 2025 | 4.97 Bn |
| Sep 30, 2025 | 5.41 Bn |
| Jun 30, 2025 | 4.99 Bn |
| Mar 31, 2025 | 3.71 Bn |
| Dec 31, 2024 | 4.83 Bn |
| Sep 30, 2024 | 4.30 Bn |
| Jun 30, 2024 | 5.75 Bn |
| Mar 31, 2024 | 4.09 Bn |
| Dec 31, 2023 | 5.10 Bn |
| Sep 30, 2023 | 4.90 Bn |
| Jun 30, 2023 | 5.34 Bn |
| Mar 31, 2023 | 3.86 Bn |
| Dec 31, 2022 | 3.57 Bn |
| Sep 30, 2022 | 4.07 Bn |
| Jun 30, 2022 | 3.71 Bn |
| Mar 31, 2022 | 3.25 Bn |
| Dec 31, 2021 | 5.12 Bn |
| Sep 30, 2021 | 4.64 Bn |
Procter & Gamble Cash from Operations API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cash-from-operations&ticker=PG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "PG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-from-operations&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();