Federal Signal (FSS) EBITDA (2010 - 2026)
Federal Signal's EBITDA was $142.8 million in Q2 2026, up 21.4% from $117.6 million a year earlier and up 15.6% from the prior quarter.
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Analysis
Federal Signal (FSS) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Federal Signal's EBITDA was $485.7 million through Jun 30, 2026, up 27.1% year-over-year; for FY2025, it was $421.4 million, up 21.5% from FY2024.
- EBITDA has now increased for five consecutive years, with a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- In earlier years, EBITDA was $346.7 million in FY2024 (+21.7%), $284.9 million in FY2023 (+32.2%), $215.5 million in FY2022 (+19.0%) and $181.1 million in FY2021 (+2.8%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q3 2010.
- Compared with a year earlier, EBITDA has increased for 18 straight quarters, with growth averaging 23.0% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q3 2023 (growth of 46.5%); the worst was Q4 2021 (a decline of 5.5%).
- Per Business Quant data, FSS's EBITDA in the three quarters before Q2 2026 was $123.5 million (Q1 2026), $105.1 million (Q4 2025) and $114.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Federal Signal | 6.77 Bn | 6.51 Bn | 203.80 Mn | 142.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 142.80 Mn |
| Mar 31, 2026 | 123.50 Mn |
| Dec 31, 2025 | 105.10 Mn |
| Sep 30, 2025 | 114.30 Mn |
| Jun 30, 2025 | 117.60 Mn |
| Mar 31, 2025 | 84.40 Mn |
| Dec 31, 2024 | 87.70 Mn |
| Sep 30, 2024 | 92.40 Mn |
| Jun 30, 2024 | 96.90 Mn |
| Mar 31, 2024 | 69.70 Mn |
| Dec 31, 2023 | 78.40 Mn |
| Sep 30, 2023 | 77.80 Mn |
| Jun 30, 2023 | 74.90 Mn |
| Mar 31, 2023 | 53.80 Mn |
| Dec 31, 2022 | 60.60 Mn |
| Sep 30, 2022 | 53.10 Mn |
| Jun 30, 2022 | 59.90 Mn |
| Mar 31, 2022 | 41.90 Mn |
| Dec 31, 2021 | 43.00 Mn |
| Sep 30, 2021 | 47.00 Mn |
API Access
Federal Signal EBITDA 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&ticker=FSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();