Federal Signal (FSS) Return on Sales [ROS] (2010 - 2026)
Federal Signal (FSS) posted Return on Sales [ROS] of 17.64% for Q2 2026, up 0.33 percentage points from 17.30% a year earlier and up 1.70 percentage points from the prior quarter.
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Analysis
Federal Signal (FSS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Federal Signal was 16.15%, up 0.48 percentage points year-over-year; for FY2025, it came in at 15.63%, up 0.52 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for four consecutive years, with a five-year change of +4.01 percentage points (FY2020 to FY2025).
- In prior years, Federal Signal's Return on Sales [ROS] was 15.12% in FY2024 (+2.08 pp), 13.03% in FY2023 (+1.82 pp), 11.21% in FY2022 (+0.43 pp) and 10.77% in FY2021 (-0.85 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- On a year-over-year basis, Return on Sales [ROS] increased in seven of the last eight quarters, with an average year-over-year change of +0.89 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2024, with a gain of 3.11 percentage points; the weakest was Q4 2021, with a drop of 1.48 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 15.94% (Q1 2026), 13.98% (Q4 2025) and 16.94% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 26.67% |
| 10 | Federal Signal | 6.85 Bn | 6.60 Bn | 203.80 Mn | 17.64% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.64% |
| Mar 31, 2026 | 15.94% |
| Dec 31, 2025 | 13.98% |
| Sep 30, 2025 | 16.94% |
| Jun 30, 2025 | 17.30% |
| Mar 31, 2025 | 14.17% |
| Dec 31, 2024 | 14.85% |
| Sep 30, 2024 | 16.01% |
| Jun 30, 2024 | 16.54% |
| Mar 31, 2024 | 12.78% |
| Dec 31, 2023 | 14.07% |
| Sep 30, 2023 | 14.00% |
| Jun 30, 2023 | 13.43% |
| Mar 31, 2023 | 10.25% |
| Dec 31, 2022 | 11.90% |
| Sep 30, 2022 | 11.40% |
| Jun 30, 2022 | 12.60% |
| Mar 31, 2022 | 8.63% |
| Dec 31, 2021 | 9.99% |
| Sep 30, 2021 | 11.50% |
API Access
Federal Signal 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=FSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FSS", "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=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();