Federal Signal (FSS) Revenue (2010 - 2026)
Federal Signal (FSS) posted Revenue of $670.2 million for Q2 2026, up 18.7% from $564.6 million a year earlier and up 7.1% from the prior quarter.
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Analysis
Federal Signal (FSS) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Federal Signal was $2.45 billion, up 24.0% year-over-year; for FY2025, it was $2.18 billion, up 17.1% from FY2024.
- Annual Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- In prior years, Federal Signal's Revenue was $1.86 billion in FY2024 (+8.1%), $1.72 billion in FY2023 (+20.1%), $1.43 billion in FY2022 (+18.3%) and $1.21 billion in FY2021 (+7.3%).
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q2 2010.
- On a year-over-year basis, Revenue has increased in each of the last 21 quarters, with growth averaging 16.6% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 2.2% (Q4 2021) and 34.9% (Q1 2026) over the last five years.
- According to Business Quant data, Revenue for the three prior quarters was $625.6 million (Q1 2026), $597.1 million (Q4 2025) and $555 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 20.54 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 8.76 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 12.61 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 8.53 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 5.76 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 3.27 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 4.87 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 6.50 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 4.30 Bn |
| 10 | Federal Signal | 7.02 Bn | 6.77 Bn | 203.80 Mn | 670.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 670.20 Mn |
| Mar 31, 2026 | 625.60 Mn |
| Dec 31, 2025 | 597.10 Mn |
| Sep 30, 2025 | 555.00 Mn |
| Jun 30, 2025 | 564.60 Mn |
| Mar 31, 2025 | 463.80 Mn |
| Dec 31, 2024 | 472.00 Mn |
| Sep 30, 2024 | 474.20 Mn |
| Jun 30, 2024 | 490.40 Mn |
| Mar 31, 2024 | 424.90 Mn |
| Dec 31, 2023 | 448.40 Mn |
| Sep 30, 2023 | 446.40 Mn |
| Jun 30, 2023 | 442.40 Mn |
| Mar 31, 2023 | 385.50 Mn |
| Dec 31, 2022 | 391.50 Mn |
| Sep 30, 2022 | 346.40 Mn |
| Jun 30, 2022 | 366.70 Mn |
| Mar 31, 2022 | 330.20 Mn |
| Dec 31, 2021 | 301.40 Mn |
| Sep 30, 2021 | 298.30 Mn |
API Access
Federal Signal Revenue 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=revenue&ticker=FSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();