Entergy (ETR) Return on Sales [ROS] (2009 - 2026)
Entergy's Return on Sales [ROS] came in at 24.13% for Q2 2026, down 1.03 percentage points from 25.16% a year earlier but up 6.17 percentage points from the prior quarter.
Entergy (ETR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Entergy reported Return on Sales [ROS] of 22.90%, down 4.18 percentage points year-over-year; for FY2025, it was 24.73%, up 2.42 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a five-year change of +7.24 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 22.32% in FY2024 (+0.76 pp), 21.55% in FY2023 (+6.65 pp), 14.90% in FY2022 (-0.82 pp) and 15.72% in FY2021 (-1.78 pp).
- The five-year range for quarterly Return on Sales [ROS] is 2.39% (Q2 2022) to 33.22% (Q3 2024).
- Year-over-year, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of +2.40 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2023 (a gain of 24.17 percentage points), and the weakest in Q1 2024 (a drop of 6.99 percentage points).
- Business Quant data shows ETR's Return on Sales [ROS] at 17.95% (Q1 2026), 18.44% (Q4 2025) and 29.36% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 287.73 Bn | 287.73 Bn | 890.00 Mn | 30.20% |
| 2 | Nextera Energy | 160.25 Bn | 161.15 Bn | - | 29.71% |
| 3 | Southern | 96.31 Bn | 87.36 Bn | 5.92 Bn | 25.46% |
| 4 | Duke Energy | 88.79 Bn | 87.40 Bn | 6.74 Bn | 29.69% |
| 5 | National Grid | 79.16 Bn | 60.69 Bn | - | - |
| 6 | American Electric Power | 65.09 Bn | 63.47 Bn | 3.84 Bn | 22.90% |
| 7 | Dominion Energy | 53.95 Bn | 56.63 Bn | - | 7.34% |
| 8 | Sempra | 51.22 Bn | 50.35 Bn | 2.89 Bn | 23.72% |
| 9 | Entergy | 47.09 Bn | 36.28 Bn | - | 24.13% |
| 10 | Xcel Energy | 44.58 Bn | 39.49 Bn | - | 22.64% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.13% |
| Mar 31, 2026 | 17.95% |
| Dec 31, 2025 | 18.44% |
| Sep 30, 2025 | 29.36% |
| Jun 30, 2025 | 25.16% |
| Mar 31, 2025 | 24.59% |
| Dec 31, 2024 | 24.42% |
| Sep 30, 2024 | 33.22% |
| Jun 30, 2024 | 20.91% |
| Mar 31, 2024 | 8.52% |
| Dec 31, 2023 | 9.42% |
| Sep 30, 2023 | 31.80% |
| Jun 30, 2023 | 26.56% |
| Mar 31, 2023 | 15.50% |
| Dec 31, 2022 | 13.72% |
| Sep 30, 2022 | 22.63% |
| Jun 30, 2022 | 2.39% |
| Mar 31, 2022 | 19.67% |
| Dec 31, 2021 | 12.55% |
| Sep 30, 2021 | 24.69% |
Entergy 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=ETR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ETR", "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=ETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();