Procter & Gamble (PG) Return on Assets [ROA] (2009 - 2026)
Procter & Gamble (PG) reported Return on Assets [ROA] of 12.67% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 0.28 percentage points from 12.94% a year earlier and down 0.39 percentage points from the prior quarter.
Procter & Gamble (PG) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Procter & Gamble posted Return on Assets [ROA] of 12.83%, down 0.15 percentage points from FY2025.
- Return on Assets [ROA] has a five-year change of +0.87 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Assets [ROA] came in at 12.98% in FY2025 (+0.66 pp), 12.31% in FY2024 (-0.07 pp), 12.38% in FY2023 (-0.13 pp) and 12.51% in FY2022 (+0.55 pp).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Return on Assets [ROA] since fiscal Q2 2025.
- Year over year, Return on Assets [ROA] gained in six of the last eight quarters, with an average year-over-year change of +0.27 percentage points.
- The high point for year-over-year Return on Assets [ROA] in five years was fiscal Q1 2026 (a gain of 1.76 percentage points); the low point was fiscal Q1 2025 (a drop of 1.02 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 13.06% (Q3 2026), 12.97% (Q2 2026) and 13.34% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 12.67% |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 12.94% |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 6.19% |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 0.92% |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 11.13% |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 8.22% |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 8.45% |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 2.46% |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 10.69% |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn | 13.53% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.67% |
| Mar 31, 2026 | 13.06% |
| Dec 31, 2025 | 12.97% |
| Sep 30, 2025 | 13.34% |
| Jun 30, 2025 | 12.94% |
| Mar 31, 2025 | 12.69% |
| Dec 31, 2024 | 12.50% |
| Sep 30, 2024 | 11.58% |
| Jun 30, 2024 | 12.38% |
| Mar 31, 2024 | 12.67% |
| Dec 31, 2023 | 12.22% |
| Sep 30, 2023 | 12.60% |
| Jun 30, 2023 | 12.25% |
| Mar 31, 2023 | 12.13% |
| Dec 31, 2022 | 12.26% |
| Sep 30, 2022 | 12.53% |
| Jun 30, 2022 | 12.46% |
| Mar 31, 2022 | 12.12% |
| Dec 31, 2021 | 12.05% |
| Sep 30, 2021 | 11.86% |
Procter & Gamble Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=PG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();