Pg&E (PCG) Return on Sales [ROS] (2009 - 2026)
Pg&E's Return on Sales [ROS] was 20.18% in Q3 2026, up 0.84 percentage points from 19.34% a year earlier but down 1.22 percentage points from the prior quarter.
Pg&E (PCG) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pg&E's Return on Sales [ROS] was 20.20% through Sep 30, 2026, up 1.84 percentage points year-over-year; for FY2025, it was 19.05%, up 0.79 percentage points from FY2024.
- Return on Sales [ROS] has now increased for three consecutive years, with a five-year change of +9.54 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 18.26% in FY2024 (+7.33 pp), 10.93% in FY2023 (+2.46 pp), 8.47% in FY2022 (-0.65 pp) and 9.12% in FY2021 (-0.38 pp).
- Quarterly Return on Sales [ROS] has moved between 2.42% (Q4 2022) and 21.77% (Q1 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for five straight quarters, with an average year-over-year change of +0.85 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2023 (a gain of 13.70 percentage points); the worst was Q4 2022 (a drop of 9.80 percentage points).
- Per Business Quant data, PCG's Return on Sales [ROS] in the three quarters before Q3 2026 was 21.40% (Q2 2026), 21.36% (Q1 2026) and 17.99% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 181.60 Bn | 168.35 Bn | - | 32.44% |
| 2 | Southern | 104.77 Bn | 95.83 Bn | 5.92 Bn | 25.46% |
| 3 | Duke Energy | 99.63 Bn | 95.89 Bn | 5.66 Bn | 26.99% |
| 4 | National Grid | 82.14 Bn | 54.44 Bn | - | - |
| 5 | American Electric Power | 68.86 Bn | 66.65 Bn | 4.75 Bn | 26.52% |
| 6 | Dominion Energy | 60.31 Bn | 58.30 Bn | - | 7.34% |
| 7 | Entergy | 51.91 Bn | 38.35 Bn | - | 33.93% |
| 8 | Sempra | 51.13 Bn | 50.25 Bn | 2.89 Bn | 17.45% |
| 9 | Xcel Energy | 50.13 Bn | 43.61 Bn | - | 28.55% |
| 10 | Pg&E | 28.53 Bn | 24.81 Bn | 5.18 Bn | 20.18% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.18% |
| Jun 30, 2026 | 21.40% |
| Mar 31, 2026 | 21.36% |
| Dec 31, 2025 | 17.99% |
| Sep 30, 2025 | 19.34% |
| Jun 30, 2025 | 18.58% |
| Mar 31, 2025 | 20.39% |
| Dec 31, 2024 | 15.38% |
| Sep 30, 2024 | 17.32% |
| Jun 30, 2024 | 18.94% |
| Mar 31, 2024 | 21.77% |
| Dec 31, 2023 | 16.12% |
| Sep 30, 2023 | 6.81% |
| Jun 30, 2023 | 9.57% |
| Mar 31, 2023 | 10.13% |
| Dec 31, 2022 | 2.42% |
| Sep 30, 2022 | 13.46% |
| Jun 30, 2022 | 8.69% |
| Mar 31, 2022 | 9.24% |
| Dec 31, 2021 | 12.22% |
Pg&E 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=PCG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PCG", "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=PCG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();