Procter & Gamble (PG) Operating Expenses (2009 - 2026)
Procter & Gamble (PG) recorded Operating Expenses of $6.33 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 7.3% from $5.9 billion a year earlier and up 6.7% from the prior quarter.
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Analysis
Procter & Gamble (PG) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Procter & Gamble reported Operating Expenses of $23.92 billion, up 5.5% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 2.6% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $22.67 billion in FY2025 (-2.7%), $23.31 billion in FY2024 (+10.4%), $21.11 billion in FY2023 (+4.4%) and $20.22 billion in FY2022 (-3.8%).
- The fiscal Q4 2026 figure is the highest quarterly Operating Expenses since fiscal Q3 2013.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 1.5% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 16.1% in fiscal Q1 2024, against a decline of 8.9% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $5.94 billion (Q3 2026), $6.01 billion (Q2 2026) and $5.64 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.79 Bn | 323.55 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 74.66 Bn | 69.39 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 38.33 Bn | 26.40 Bn | 2.74 Bn | 2.78 Bn |
| 4 | Kenvue | 36.21 Bn | 31.83 Bn | 2.30 Bn | 1.60 Bn |
| 5 | Kimberly Clark | 35.02 Bn | 32.22 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 24.64 Bn | 23.17 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 10.41 Bn | 8.69 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.70 Bn | 5.68 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.76 Bn | 4.42 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Bath & Body Works | 4.29 Bn | 1.94 Bn | 692.00 Mn | 476.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 4.95 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();