Powell Industries (POWL) Return on Sales [ROS] (2010 - 2026)
Powell Industries (POWL) reported Return on Sales [ROS] of 20.55% for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.45 percentage points from 21.00% a year earlier but up 1.14 percentage points from the prior quarter.
Powell Industries (POWL) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Powell Industries' Return on Sales [ROS] came in at 19.67%, up 0.18 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 19.73%, up 2.07 percentage points from FY2024.
- Return on Sales [ROS] has increased for four consecutive fiscal years, with a five-year change of +16.05 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 17.66% in FY2024 (+8.72 pp), 8.94% in FY2023 (+7.58 pp), 1.36% in FY2022 (+1.14 pp) and 0.22% in FY2021 (-3.46 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -4.03% in fiscal Q1 2022 and a high of 21.22% in fiscal Q4 2025.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +1.90 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q1 2024 (a gain of 12.48 percentage points); the low point was fiscal Q1 2022 (a drop of 3.73 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 19.41% (Q2 2026), 17.03% (Q1 2026) and 21.22% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 26.67% |
| 10 | Powell Industries | 7.14 Bn | 4.99 Bn | 95.30 Mn | 20.55% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.55% |
| Mar 31, 2026 | 19.41% |
| Dec 31, 2025 | 17.03% |
| Sep 30, 2025 | 21.22% |
| Jun 30, 2025 | 21.00% |
| Mar 31, 2025 | 21.15% |
| Dec 31, 2024 | 14.73% |
| Sep 30, 2024 | 20.40% |
| Jun 30, 2024 | 19.88% |
| Mar 31, 2024 | 15.48% |
| Dec 31, 2023 | 13.34% |
| Sep 30, 2023 | 14.28% |
| Jun 30, 2023 | 11.20% |
| Mar 31, 2023 | 5.88% |
| Dec 31, 2022 | 0.86% |
| Sep 30, 2022 | 6.37% |
| Jun 30, 2022 | 0.63% |
| Mar 31, 2022 | 0.24% |
| Dec 31, 2021 | -4.03% |
| Sep 30, 2021 | 2.98% |
Powell Industries 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=POWL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "POWL", "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=POWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();