Procter & Gamble (PG) Operating Expenses (2009 - 2026)
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Analysis
Procter & Gamble (PG) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 388.36 Bn | 339.92 Bn | 11.60 Bn | 5.66 Bn |
| 2 | Colgate Palmolive | 77.74 Bn | 72.22 Bn | 3.23 Bn | 2.11 Bn |
| 3 | Estee Lauder Companies | 41.35 Bn | 28.44 Bn | 2.81 Bn | 2.41 Bn |
| 4 | Kimberly Clark | 37.08 Bn | 33.02 Bn | 1.44 Bn | - |
| 5 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.60 Bn |
| 6 | Church & Dwight | 26.20 Bn | 24.59 Bn | 749.40 Mn | 267.30 Mn |
| 7 | Clorox | 12.58 Bn | 10.84 Bn | 770.00 Mn | 319.00 Mn |
| 8 | e.l.f. Beauty | 7.08 Bn | 5.90 Bn | 370.22 Mn | 300.12 Mn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.84 Bn | 236.00 Mn | 106.00 Mn |
| 10 | Bath & Body Works | 4.67 Bn | 1.87 Bn | 692.00 Mn | 476.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.66 Bn |
| Jun 30, 2026 | 6.33 Bn |
| Mar 31, 2026 | 5.94 Bn |
| Dec 31, 2025 | 6.01 Bn |
| Sep 30, 2025 | 5.64 Bn |
| Jun 30, 2025 | 5.90 Bn |
| Mar 31, 2025 | 5.52 Bn |
| Dec 31, 2024 | 5.72 Bn |
| Sep 30, 2024 | 5.52 Bn |
| Jun 30, 2024 | 6.30 Bn |
| Mar 31, 2024 | 5.88 Bn |
| Dec 31, 2023 | 5.52 Bn |
| Sep 30, 2023 | 5.60 Bn |
| Jun 30, 2023 | 5.78 Bn |
| Mar 31, 2023 | 5.42 Bn |
| Dec 31, 2022 | 5.09 Bn |
| Sep 30, 2022 | 4.83 Bn |
| Jun 30, 2022 | 5.12 Bn |
| Mar 31, 2022 | 5.03 Bn |
| Dec 31, 2021 | 5.12 Bn |
API Access
Procter & Gamble Operating Expenses 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=operating-expenses&ticker=PG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();