Duke Energy (DUK) Return on Sales [ROS] (2009 - 2026)
Duke Energy's Return on Sales [ROS] came in at 29.69% for Q1 2026, up 1.29 percentage points from 28.40% a year earlier and up 3.00 percentage points from the prior quarter.
Duke Energy (DUK) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Duke Energy reported Return on Sales [ROS] of 27.16%, up 0.31 percentage points year-over-year; for FY2025, it was 26.76%, up 0.65 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a five-year change of +7.20 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 26.11% in FY2024 (+1.78 pp), 24.33% in FY2023 (+3.43 pp), 20.90% in FY2022 (-1.44 pp) and 22.34% in FY2021 (+2.78 pp).
- The Q1 2026 figure represents the highest quarterly Return on Sales [ROS] since Q3 2016.
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +1.08 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 16.40 percentage points), and the weakest in Q1 2022 (a drop of 5.56 percentage points).
- Business Quant data shows DUK's Return on Sales [ROS] at 26.69% (Q4 2025), 27.32% (Q3 2025) and 24.37% (Q2 2025) in the three quarters before Q1 2026.
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 | Exelon | 43.40 Bn | 38.71 Bn | - | 16.41% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 29.69% |
| Dec 31, 2025 | 26.69% |
| Sep 30, 2025 | 27.32% |
| Jun 30, 2025 | 24.37% |
| Mar 31, 2025 | 28.40% |
| Dec 31, 2024 | 28.70% |
| Sep 30, 2024 | 26.29% |
| Jun 30, 2024 | 23.80% |
| Mar 31, 2024 | 25.59% |
| Dec 31, 2023 | 25.72% |
| Sep 30, 2023 | 26.41% |
| Jun 30, 2023 | 21.74% |
| Mar 31, 2023 | 23.01% |
| Dec 31, 2022 | 16.24% |
| Sep 30, 2022 | 26.22% |
| Jun 30, 2022 | 22.06% |
| Mar 31, 2022 | 18.74% |
| Dec 31, 2021 | 18.15% |
| Sep 30, 2021 | 25.26% |
| Jun 30, 2021 | 21.25% |
Duke Energy 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=DUK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "DUK", "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=DUK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();