Esco Technologies (ESE) Return on Sales [ROS] (2009 - 2026)
Esco Technologies' Return on Sales [ROS] was 24.57% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.33 percentage points from 23.23% a year earlier and up 0.57 percentage points from the prior quarter.
Esco Technologies (ESE) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Esco Technologies' Return on Sales [ROS] was 15.78% through Jun 30, 2026, up 11.18 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 15.55%, down 0.35 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +73.30 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Sales [ROS] was 15.91% in FY2024 (+1.99 pp), 13.92% in FY2023 (+62.79 pp), -48.87% in FY2022 (+2.06 pp) and -50.93% in FY2021 (+6.82 pp).
- The fiscal Q3 2026 figure marks the highest quarterly Return on Sales [ROS] since fiscal Q4 2011.
- Compared with a year earlier, Return on Sales [ROS] has increased for seven straight quarters, with an average year-over-year change of +29.99 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q2 2025 (a gain of 71.58 percentage points); the worst was fiscal Q4 2024 (a drop of 5.74 percentage points).
- Per Business Quant data, ESE's Return on Sales [ROS] in the three fiscal quarters before Q3 2026 was 23.99% (Q2 2026), 13.24% (Q1 2026) and 2.21% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 295.43 Bn | 253.94 Bn | 5.02 Bn | -47.62% |
| 2 | Rtx | 258.65 Bn | 226.92 Bn | 5.81 Bn | 13.37% |
| 3 | Boeing | 148.98 Bn | 55.67 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 139.53 Bn | 123.76 Bn | 2.44 Bn | 11.80% |
| 5 | General Dynamics | 94.40 Bn | 81.52 Bn | 2.18 Bn | 10.36% |
| 6 | Motorola Solutions | 79.77 Bn | 76.11 Bn | 1.68 Bn | 25.82% |
| 7 | Northrop Grumman | 78.39 Bn | 65.85 Bn | 2.35 Bn | 11.41% |
| 8 | Howmet Aerospace | 74.22 Bn | 69.82 Bn | 951.00 Mn | 27.92% |
| 9 | Honeywell International | 70.30 Bn | 22.42 Bn | 3.65 Bn | 18.37% |
| 10 | Esco Technologies | 6.01 Bn | 5.64 Bn | 141.52 Mn | 24.57% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.57% |
| Mar 31, 2026 | 23.99% |
| Dec 31, 2025 | 13.24% |
| Sep 30, 2025 | 2.21% |
| Jun 30, 2025 | 23.23% |
| Mar 31, 2025 | 22.16% |
| Dec 31, 2024 | 13.07% |
| Sep 30, 2024 | -37.13% |
| Jun 30, 2024 | -42.56% |
| Mar 31, 2024 | -49.42% |
| Dec 31, 2023 | -52.54% |
| Sep 30, 2023 | -31.39% |
| Jun 30, 2023 | -44.93% |
| Mar 31, 2023 | -51.91% |
| Dec 31, 2022 | -52.30% |
| Sep 30, 2022 | -44.40% |
| Jun 30, 2022 | -47.91% |
| Mar 31, 2022 | -52.07% |
| Dec 31, 2021 | -52.80% |
| Sep 30, 2021 | -50.23% |
Esco Technologies 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=ESE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ESE", "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=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();