Procter & Gamble (PG) Return on Capital Employed [ROCE] (2009 - 2026)
Procter & Gamble (PG) reported Return on Capital Employed [ROCE] of 22.25% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 0.98 percentage points from 23.23% a year earlier and down 0.24 percentage points from the prior quarter.
Procter & Gamble (PG) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Procter & Gamble posted Return on Capital Employed [ROCE] of 22.65%, down 0.66 percentage points from FY2025.
- Return on Capital Employed [ROCE] has a five-year change of +1.95 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Capital Employed [ROCE] came in at 23.31% in FY2025 (+2.23 pp), 21.08% in FY2024 (-0.70 pp), 21.78% in FY2023 (+0.87 pp) and 20.91% in FY2022 (+0.21 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of 20.55% in fiscal Q3 2022 and a high of 23.23% in fiscal Q4 2025.
- Year over year, Return on Capital Employed [ROCE] gained in five of the last eight quarters, with an average year-over-year change of +0.41 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q1 2022 (a gain of 2.89 percentage points); the low point was fiscal Q1 2025 (a drop of 1.33 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 22.49% (Q3 2026), 22.19% (Q2 2026) and 23.20% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn | 22.25% |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn | 29.67% |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn | 12.57% |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn | 5.79% |
| 5 | Kimberly Clark | 31.38 Bn | 28.70 Bn | 1.60 Bn | 23.10% |
| 6 | Church & Dwight | 22.32 Bn | 20.85 Bn | 693.90 Mn | 14.08% |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn | 38.28% |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn | 6.09% |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn | 12.75% |
| 10 | Interparfums | 3.58 Bn | 3.39 Bn | 223.53 Mn | 21.08% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.25% |
| Mar 31, 2026 | 22.49% |
| Dec 31, 2025 | 22.19% |
| Sep 30, 2025 | 23.20% |
| Jun 30, 2025 | 23.23% |
| Mar 31, 2025 | 22.56% |
| Dec 31, 2024 | 21.91% |
| Sep 30, 2024 | 21.11% |
| Jun 30, 2024 | 21.23% |
| Mar 31, 2024 | 21.43% |
| Dec 31, 2023 | 21.72% |
| Sep 30, 2023 | 22.43% |
| Jun 30, 2023 | 21.44% |
| Mar 31, 2023 | 21.76% |
| Dec 31, 2022 | 22.17% |
| Sep 30, 2022 | 22.13% |
| Jun 30, 2022 | 20.80% |
| Mar 31, 2022 | 20.55% |
| Dec 31, 2021 | 21.23% |
| Sep 30, 2021 | 21.39% |
Procter & Gamble Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=PG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();