Federal Signal (FSS) EBITDA Margin (2010 - 2026)
Federal Signal (FSS) posted EBITDA Margin of 21.31% for Q2 2026, up 0.48 percentage points from 20.83% a year earlier and up 1.57 percentage points from the prior quarter.
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Analysis
Federal Signal (FSS) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Federal Signal was 19.84%, up 0.49 percentage points year-over-year; for FY2025, it came in at 19.33%, up 0.70 percentage points from FY2024.
- Annual EBITDA Margin has increased for four consecutive years, with a five-year change of +3.74 percentage points (FY2020 to FY2025).
- In prior years, Federal Signal's EBITDA Margin was 18.62% in FY2024 (+2.09 pp), 16.54% in FY2023 (+1.52 pp), 15.02% in FY2022 (+0.09 pp) and 14.93% in FY2021 (-0.65 pp).
- The Q2 2026 figure stands as the highest quarterly EBITDA Margin in data going back to Q3 2010.
- On a year-over-year basis, EBITDA Margin increased in seven of the last eight quarters, with an average year-over-year change of +1.02 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q2 2024, with a gain of 2.83 percentage points; the weakest was Q1 2022, with a drop of 1.66 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 19.74% (Q1 2026), 17.60% (Q4 2025) and 20.59% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 23.91% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 33.41% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 19.50% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 20.99% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 27.98% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 23.02% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 34.66% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 20.29% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 28.95% |
| 10 | Federal Signal | 6.77 Bn | 6.51 Bn | 203.80 Mn | 21.31% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.31% |
| Mar 31, 2026 | 19.74% |
| Dec 31, 2025 | 17.60% |
| Sep 30, 2025 | 20.59% |
| Jun 30, 2025 | 20.83% |
| Mar 31, 2025 | 18.20% |
| Dec 31, 2024 | 18.58% |
| Sep 30, 2024 | 19.49% |
| Jun 30, 2024 | 19.76% |
| Mar 31, 2024 | 16.40% |
| Dec 31, 2023 | 17.48% |
| Sep 30, 2023 | 17.43% |
| Jun 30, 2023 | 16.93% |
| Mar 31, 2023 | 13.96% |
| Dec 31, 2022 | 15.48% |
| Sep 30, 2022 | 15.33% |
| Jun 30, 2022 | 16.33% |
| Mar 31, 2022 | 12.69% |
| Dec 31, 2021 | 14.27% |
| Sep 30, 2021 | 15.76% |
API Access
Federal Signal EBITDA 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=ebitda-margin&ticker=FSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();