Procter & Gamble (PG) Cost of Revenue (2009 - 2026)
Procter & Gamble (PG) reported Cost of Revenue of $10.92 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 2.7% from $10.63 billion a year earlier and up 1.8% from the prior quarter.
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Analysis
Procter & Gamble (PG) Cost of Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Procter & Gamble posted Cost of Revenue of $43.36 billion, up 5.3% from FY2025.
- Cost of Revenue has a five-year compound annual growth rate of 3.2% (FY2021 to FY2026).
- By fiscal year, Cost of Revenue came in at $41.16 billion in FY2025 (+0.8%), $40.85 billion in FY2024 (-4.5%), $42.76 billion in FY2023 (+1.4%) and $42.16 billion in FY2022 (+13.6%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Cost of Revenue in data going back to fiscal Q3 2009.
- Year over year, Cost of Revenue has now increased in each of the last five quarters, with growth averaging 3.1% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q3 2022 (growth of 15.7%); the low point was fiscal Q2 2024 (a decline of 6.9%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $10.72 billion (Q3 2026), $10.83 billion (Q2 2026) and $10.89 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 10.92 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 2.07 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 890.00 Mn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 1.65 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 2.59 Bn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 836.10 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 1.14 Bn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 80.53 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 699.00 Mn |
| 10 | Interparfums | 3.65 Bn | 3.46 Bn | 223.53 Mn | 117.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.92 Bn |
| Mar 31, 2026 | 10.72 Bn |
| Dec 31, 2025 | 10.83 Bn |
| Sep 30, 2025 | 10.89 Bn |
| Jun 30, 2025 | 10.63 Bn |
| Mar 31, 2025 | 9.69 Bn |
| Dec 31, 2024 | 10.42 Bn |
| Sep 30, 2024 | 10.42 Bn |
| Jun 30, 2024 | 10.35 Bn |
| Mar 31, 2024 | 9.86 Bn |
| Dec 31, 2023 | 10.14 Bn |
| Sep 30, 2023 | 10.50 Bn |
| Jun 30, 2023 | 10.61 Bn |
| Mar 31, 2023 | 10.40 Bn |
| Dec 31, 2022 | 10.90 Bn |
| Sep 30, 2022 | 10.85 Bn |
| Jun 30, 2022 | 10.80 Bn |
| Mar 31, 2022 | 10.33 Bn |
| Dec 31, 2021 | 10.66 Bn |
| Sep 30, 2021 | 10.37 Bn |
API Access
Procter & Gamble Cost of Revenue 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=cost-of-revenue&ticker=PG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();