Federal Signal (FSS) Cost of Revenue (2010 - 2026)
Federal Signal (FSS) recorded Cost of Revenue of $466.3 million in Q3 2026, up 18.5% from $393.5 million a year earlier and unchanged from the prior quarter.
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Analysis
Federal Signal (FSS) Cost of Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Federal Signal's Cost of Revenue came in at $1.81 billion as of Sep 30, 2026, up 23.7% year-over-year; for FY2025, it was $1.55 billion, up 16.6% from FY2024.
- Annual Cost of Revenue has increased for five straight years, with a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $1.33 billion in FY2024 (+4.4%), $1.27 billion in FY2023 (+16.8%), $1.09 billion in FY2022 (+17.9%) and $924.5 million in FY2021 (+10.4%).
- Quarterly Cost of Revenue has ranged from $234 million in Q4 2021 to $466.4 million in Q2 2026 over the past five years.
- On a year-over-year basis, Cost of Revenue has increased for 22 consecutive quarters, with growth averaging 17.4% over the last eight quarters.
- The year-over-year growth in Cost of Revenue has ranged between 1.6% (Q3 2024) and 34.0% (Q1 2026) over the last five years.
- Per Business Quant, the preceding three quarters came in at $466.4 million (Q2 2026), $446.2 million (Q1 2026) and $427.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 13.33 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 6.21 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 5.84 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 3.73 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 3.80 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 2.22 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 2.33 Bn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 2.67 Bn |
| 10 | Federal Signal | 6.90 Bn | 6.63 Bn | 189.20 Mn | 466.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 466.30 Mn |
| Jun 30, 2026 | 466.40 Mn |
| Mar 31, 2026 | 446.20 Mn |
| Dec 31, 2025 | 427.80 Mn |
| Sep 30, 2025 | 393.50 Mn |
| Jun 30, 2025 | 395.00 Mn |
| Mar 31, 2025 | 333.00 Mn |
| Dec 31, 2024 | 339.40 Mn |
| Sep 30, 2024 | 333.80 Mn |
| Jun 30, 2024 | 346.40 Mn |
| Mar 31, 2024 | 308.90 Mn |
| Dec 31, 2023 | 329.00 Mn |
| Sep 30, 2023 | 328.70 Mn |
| Jun 30, 2023 | 325.10 Mn |
| Mar 31, 2023 | 289.70 Mn |
| Dec 31, 2022 | 294.90 Mn |
| Sep 30, 2022 | 263.60 Mn |
| Jun 30, 2022 | 276.90 Mn |
| Mar 31, 2022 | 254.50 Mn |
| Dec 31, 2021 | 234.00 Mn |
API Access
Federal Signal Cost of 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=cost-of-revenue&ticker=FSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();