Public Service Enterprise (PEG) Return on Sales [ROS] (2009 - 2026)
Public Service Enterprise's Return on Sales [ROS] was 16.90% in Q2 2026, down 12.23 percentage points from 29.13% a year earlier and down 8.96 percentage points from the prior quarter.
Public Service Enterprise (PEG) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Public Service Enterprise's Return on Sales [ROS] was 22.28% through Jun 30, 2026, down 1.62 percentage points year-over-year; for FY2025, it came in at 24.49%, up 1.62 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +0.85 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 22.87% in FY2024 (-9.93 pp), 32.79% in FY2023 (+20.50 pp), 12.30% in FY2022 (+21.10 pp) and -8.80% in FY2021 (-32.44 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q3 2022.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of -1.38 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2022 (a gain of 123.48 percentage points); the worst was Q3 2021 (a drop of 142.58 percentage points).
- Per Business Quant data, PEG's Return on Sales [ROS] in the three quarters before Q2 2026 was 25.86% (Q1 2026), 17.53% (Q4 2025) and 26.50% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 162.78 Bn | 152.72 Bn | - | 29.71% |
| 2 | Southern | 100.19 Bn | 91.25 Bn | 5.92 Bn | 25.46% |
| 3 | Duke Energy | 91.91 Bn | 88.50 Bn | 6.74 Bn | 29.69% |
| 4 | National Grid | 77.40 Bn | 49.69 Bn | - | - |
| 5 | American Electric Power | 68.36 Bn | 65.53 Bn | 3.84 Bn | 22.90% |
| 6 | Dominion Energy | 54.82 Bn | 52.81 Bn | - | 7.34% |
| 7 | Sempra | 53.87 Bn | 52.99 Bn | 2.89 Bn | 23.72% |
| 8 | Entergy | 48.18 Bn | 37.31 Bn | - | 24.13% |
| 9 | Xcel Energy | 46.63 Bn | 41.53 Bn | - | 22.64% |
| 10 | Public Service Enterprise | 35.07 Bn | 34.01 Bn | 1.86 Bn | 16.90% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.90% |
| Mar 31, 2026 | 25.86% |
| Dec 31, 2025 | 17.53% |
| Sep 30, 2025 | 26.50% |
| Jun 30, 2025 | 29.13% |
| Mar 31, 2025 | 23.53% |
| Dec 31, 2024 | 18.05% |
| Sep 30, 2024 | 24.26% |
| Jun 30, 2024 | 24.02% |
| Mar 31, 2024 | 24.82% |
| Dec 31, 2023 | 26.56% |
| Sep 30, 2023 | 22.43% |
| Jun 30, 2023 | 32.80% |
| Mar 31, 2023 | 43.89% |
| Dec 31, 2022 | 21.09% |
| Sep 30, 2022 | 7.61% |
| Jun 30, 2022 | 14.26% |
| Mar 31, 2022 | -2.25% |
| Dec 31, 2021 | 29.52% |
| Sep 30, 2021 | -115.87% |
Public Service Enterprise 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=PEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PEG", "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=PEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();