Procter & Gamble (PG) Net Income (2009 - 2026)
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Analysis
Procter & Gamble (PG) Net Income (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 384.13 Bn | 335.69 Bn | 11.60 Bn | 4.76 Bn |
| 2 | Colgate Palmolive | 76.99 Bn | 71.47 Bn | 3.23 Bn | 779.00 Mn |
| 3 | Estee Lauder Companies | 40.05 Bn | 27.14 Bn | 2.81 Bn | 233.00 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 430.00 Mn |
| 5 | Kimberly Clark | 36.07 Bn | 32.01 Bn | 1.44 Bn | 1.80 Bn |
| 6 | Church & Dwight | 25.86 Bn | 24.25 Bn | 749.40 Mn | 212.20 Mn |
| 7 | Clorox | 12.14 Bn | 10.40 Bn | 770.00 Mn | 173.00 Mn |
| 8 | e.l.f. Beauty | 6.86 Bn | 5.68 Bn | 370.22 Mn | 30.03 Mn |
| 9 | Reynolds Consumer Products | 5.08 Bn | 4.77 Bn | 236.00 Mn | 58.00 Mn |
| 10 | Bath & Body Works | 4.61 Bn | 1.81 Bn | 692.00 Mn | 118.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.76 Bn |
| Jun 30, 2026 | 3.08 Bn |
| Mar 31, 2026 | 3.95 Bn |
| Dec 31, 2025 | 4.33 Bn |
| Sep 30, 2025 | 4.78 Bn |
| Jun 30, 2025 | 3.63 Bn |
| Mar 31, 2025 | 3.79 Bn |
| Dec 31, 2024 | 4.66 Bn |
| Sep 30, 2024 | 3.99 Bn |
| Jun 30, 2024 | 3.14 Bn |
| Mar 31, 2024 | 3.78 Bn |
| Dec 31, 2023 | 3.49 Bn |
| Sep 30, 2023 | 4.56 Bn |
| Jun 30, 2023 | 3.39 Bn |
| Mar 31, 2023 | 3.42 Bn |
| Dec 31, 2022 | 3.96 Bn |
| Sep 30, 2022 | 3.96 Bn |
| Jun 30, 2022 | 3.06 Bn |
| Mar 31, 2022 | 3.37 Bn |
| Dec 31, 2021 | 4.24 Bn |
API Access
Procter & Gamble Net Income 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=net-income&ticker=PG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();