Procter & Gamble (PG) Retained Earnings (2009 - 2026)
Powered by 
Analysis
Procter & Gamble (PG) Retained Earnings (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | 138.02 Bn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | 27.42 Bn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | 11.45 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | -447.00 Mn |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | 11.13 Bn |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | 7.18 Bn |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | 247.00 Mn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | -59.30 Mn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | 862.00 Mn |
| 10 | Bath & Body Works | 4.60 Bn | 1.80 Bn | 692.00 Mn | -1.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 138.02 Bn |
| Jun 30, 2026 | 135.85 Bn |
| Mar 31, 2026 | 135.42 Bn |
| Dec 31, 2025 | 133.98 Bn |
| Sep 30, 2025 | 132.21 Bn |
| Jun 30, 2025 | 129.97 Bn |
| Mar 31, 2025 | 128.92 Bn |
| Dec 31, 2024 | 127.54 Bn |
| Sep 30, 2024 | 125.36 Bn |
| Jun 30, 2024 | 123.81 Bn |
| Mar 31, 2024 | 123.13 Bn |
| Dec 31, 2023 | 121.62 Bn |
| Sep 30, 2023 | 120.44 Bn |
| Jun 30, 2023 | 118.17 Bn |
| Mar 31, 2023 | 117.08 Bn |
| Dec 31, 2022 | 115.86 Bn |
| Sep 30, 2022 | 114.16 Bn |
| Jun 30, 2022 | 112.43 Bn |
| Mar 31, 2022 | 111.65 Bn |
| Dec 31, 2021 | 110.39 Bn |
API Access
Procter & Gamble Retained Earnings 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=retained-earnings&ticker=PG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();