Ppl (PPL) Return on Sales [ROS] (2009 - 2026)
Ppl's Return on Sales [ROS] was 22.50% in Q2 2026, up 2.45 percentage points from 20.05% a year earlier but down 4.36 percentage points from the prior quarter.
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Analysis
Ppl (PPL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ppl's Return on Sales [ROS] was 24.10% through Jun 30, 2026, up 2.65 percentage points year-over-year; for FY2025, it was 23.55%, up 2.98 percentage points from FY2024.
- Return on Sales [ROS] has now increased for three consecutive years, though with a five-year change of -5.43 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 20.56% in FY2024 (+0.95 pp), 19.61% in FY2023 (+2.22 pp), 17.39% in FY2022 (-7.24 pp) and 24.62% in FY2021 (-4.35 pp).
- Quarterly Return on Sales [ROS] has moved between 14.33% (Q2 2022) and 28.51% (Q3 2021) over five years.
- 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 +1.34 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2023 (a gain of 5.41 percentage points); the worst was Q3 2022 (a drop of 12.53 percentage points).
- Per Business Quant data, PPL's Return on Sales [ROS] in the three quarters before Q2 2026 was 26.86% (Q1 2026), 20.93% (Q4 2025) and 25.41% (Q3 2025).
Peer Set
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 | Ppl | 26.04 Bn | 22.30 Bn | - | 22.50% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.50% |
| Mar 31, 2026 | 26.86% |
| Dec 31, 2025 | 20.93% |
| Sep 30, 2025 | 25.41% |
| Jun 30, 2025 | 20.05% |
| Mar 31, 2025 | 27.08% |
| Dec 31, 2024 | 17.05% |
| Sep 30, 2024 | 20.72% |
| Jun 30, 2024 | 20.73% |
| Mar 31, 2024 | 23.65% |
| Dec 31, 2023 | 19.20% |
| Sep 30, 2023 | 21.39% |
| Jun 30, 2023 | 16.73% |
| Mar 31, 2023 | 20.62% |
| Dec 31, 2022 | 14.67% |
| Sep 30, 2022 | 15.98% |
| Jun 30, 2022 | 14.33% |
| Mar 31, 2022 | 25.48% |
| Dec 31, 2021 | 20.74% |
| Sep 30, 2021 | 28.51% |
API Access
Ppl 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=PPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PPL", "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=PPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();