Federal Signal (FSS) Return on Sales [ROS] (2010 - 2026)
Federal Signal (FSS) posted Return on Sales [ROS] of 16.99% for Q3 2026, up 0.06 percentage points from 16.94% a year earlier but down 0.64 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 Sep 30, 2026, Return on Sales [ROS] at Federal Signal was 16.20%, up 0.26 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).
- Quarterly Return on Sales [ROS] has run from a low of 8.63% in Q1 2022 to a high of 17.64% in Q2 2026 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of +0.64 percentage points over the last eight quarters.
- 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 17.64% (Q2 2026), 15.94% (Q1 2026) and 13.98% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 26.92% |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 22.81% |
| 10 | Federal Signal | 6.90 Bn | 6.63 Bn | 189.20 Mn | 16.99% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.99% |
| 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% |
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();