Procter & Gamble (PG) Operating Margin (2009 - 2026)
Procter & Gamble (PG) recorded Operating Margin of 18.63% in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.22 percentage points from 20.85% a year earlier and down 2.92 percentage points from the prior quarter.
Procter & Gamble (PG) Operating Margin (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Procter & Gamble reported Operating Margin of 22.69%, down 1.57 percentage points from FY2025.
- Annual Operating Margin has a five-year change of -0.94 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Operating Margin came in at 24.26% in FY2025 (+2.20 pp), 22.07% in FY2024 (-0.05 pp), 22.11% in FY2023 (-0.10 pp) and 22.21% in FY2022 (-1.41 pp).
- The fiscal Q4 2026 figure is the lowest quarterly Operating Margin since fiscal Q4 2022.
- On a year-over-year basis, Operating Margin has declined for four consecutive quarters, with an average year-over-year change of +0.31 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 5.56 percentage points in fiscal Q2 2025, against a drop of 2.64 percentage points in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 21.55% (Q3 2026), 24.16% (Q2 2026) and 26.16% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 18.63% |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 18.95% |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | -1.08% |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 17.67% |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 15.11% |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 18.07% |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 24.33% |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 21.37% |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 14.62% |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 14.35% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.63% |
| Mar 31, 2026 | 21.55% |
| Dec 31, 2025 | 24.16% |
| Sep 30, 2025 | 26.16% |
| Jun 30, 2025 | 20.85% |
| Mar 31, 2025 | 23.05% |
| Dec 31, 2024 | 26.24% |
| Sep 30, 2024 | 26.67% |
| Jun 30, 2024 | 18.92% |
| Mar 31, 2024 | 22.08% |
| Dec 31, 2023 | 20.68% |
| Sep 30, 2023 | 26.37% |
| Jun 30, 2023 | 20.25% |
| Mar 31, 2023 | 21.17% |
| Dec 31, 2022 | 23.03% |
| Sep 30, 2022 | 23.96% |
| Jun 30, 2022 | 18.44% |
| Mar 31, 2022 | 20.76% |
| Dec 31, 2021 | 24.66% |
| Sep 30, 2021 | 24.70% |
Procter & Gamble Operating Margin 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-margin&ticker=PG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();