Procter & Gamble (PG) Return on Sales [ROS] (2009 - 2026)
Procter & Gamble's Return on Sales [ROS] came in at 25.51% for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 0.65 percentage points from 26.16% a year earlier but up 6.88 percentage points from the prior quarter.
Procter & Gamble (PG) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Procter & Gamble reported Return on Sales [ROS] of 22.55%, down 1.60 percentage points year-over-year; for FY2026 (ended Jun 30, 2026), it came in at 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 five-year range for quarterly Return on Sales [ROS] is 18.44% (fiscal Q4 2022) to 26.67% (fiscal Q1 2025).
- Year-over-year, Return on Sales [ROS] has declined for five consecutive quarters, with an average year-over-year change of +0.19 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 Q2 2022 (a drop of 2.58 percentage points).
- Business Quant data shows PG's Return on Sales [ROS] at 18.63% (Q4 2026), 21.55% (Q3 2026) and 24.16% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 388.67 Bn | 340.24 Bn | 11.60 Bn | 25.51% |
| 2 | Colgate Palmolive | 77.83 Bn | 72.31 Bn | 3.23 Bn | 20.26% |
| 3 | Estee Lauder Companies | 41.36 Bn | 28.46 Bn | 2.81 Bn | 10.98% |
| 4 | Kimberly Clark | 37.13 Bn | 33.07 Bn | 1.44 Bn | 12.48% |
| 5 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 18.17% |
| 6 | Church & Dwight | 26.22 Bn | 24.61 Bn | 749.40 Mn | 18.19% |
| 7 | Clorox | 12.55 Bn | 10.81 Bn | 770.00 Mn | 23.67% |
| 8 | e.l.f. Beauty | 7.05 Bn | 5.87 Bn | 370.22 Mn | 10.07% |
| 9 | Reynolds Consumer Products | 5.16 Bn | 4.85 Bn | 236.00 Mn | 13.77% |
| 10 | Bath & Body Works | 4.68 Bn | 1.88 Bn | 692.00 Mn | 14.27% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 25.51% |
| 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% |
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();