Federal Signal (FSS) Operating Margin (2010 - 2026)
Federal Signal's Operating Margin came in at 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) Operating Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Federal Signal reported Operating Margin of 16.15%, up 0.48 percentage points year-over-year; for FY2025, it was 15.63%, up 0.52 percentage points from FY2024.
- Operating Margin has increased in each of the last four years, with a five-year change of +4.01 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin 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 represents the highest quarterly Operating Margin in data going back to Q2 2010.
- Year-over-year, Operating Margin increased in seven of the last eight quarters, with an average year-over-year change of +0.89 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in Q2 2024 (a gain of 3.11 percentage points), and the weakest in Q4 2021 (a drop of 1.48 percentage points).
- Business Quant data shows FSS's Operating Margin at 15.94% (Q1 2026), 13.98% (Q4 2025) and 16.94% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 26.67% |
| 10 | Federal Signal | 6.77 Bn | 6.51 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 Operating Margin 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=operating-margin&ticker=FSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();