Procter & Gamble (PG) Return on Sales [ROS] (2009 - 2026)
Procter & Gamble's Return on Sales [ROS] came in at 18.63% for 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.
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Analysis
Procter & Gamble (PG) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Procter & Gamble's Return on Sales [ROS] was 22.69%, down 1.57 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of -0.94 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was 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 represents the lowest quarterly Return on Sales [ROS] since fiscal Q4 2022.
- Year-over-year, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of +0.31 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q2 2025 (a gain of 5.56 percentage points), and the weakest in fiscal Q1 2022 (a drop of 2.64 percentage points).
- Business Quant data shows PG's Return on Sales [ROS] at 21.55% (Q3 2026), 24.16% (Q2 2026) and 26.16% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 18.63% |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 18.95% |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 17.67% |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | -1.08% |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 15.11% |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 18.07% |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 24.33% |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 21.37% |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 14.62% |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn | 14.35% |
Historic Data
Download Data
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% |
API Access
Procter & Gamble Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();