Federal Signal (FSS) Capital Expenditures (2010 - 2026)
Federal Signal's Capital Expenditures was $11.4 million in Q3 2026, up 62.9% from $7 million a year earlier but down 4.2% from the prior quarter.
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Analysis
Federal Signal (FSS) Capital Expenditures (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Federal Signal's Capital Expenditures was $37.7 million through Sep 30, 2026, up 32.7% year-over-year; for FY2025, it came in at $27.6 million, down 32.0% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $40.6 million in FY2024 (+34.0%), $30.3 million in FY2023 (-42.8%), $53 million in FY2022 (+41.7%) and $37.4 million in FY2021 (+25.9%).
- Quarterly Capital Expenditures has moved between $4.1 million (Q3 2022) and $33.7 million (Q1 2022) over five years.
- Compared with a year earlier, Capital Expenditures has increased for three straight quarters, with growth averaging 4.1% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q1 2022 (growth of 683.7%); the worst was Q1 2023 (a decline of 82.2%).
- Per Business Quant data, FSS's Capital Expenditures in the three quarters before Q3 2026 was $11.9 million (Q2 2026), $6.7 million (Q1 2026) and $7.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 1.06 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 457.20 Mn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 903.00 Mn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 275.00 Mn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 109.00 Mn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 256.00 Mn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 102.00 Mn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 102.00 Mn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 139.10 Mn |
| 10 | Federal Signal | 6.90 Bn | 6.63 Bn | 189.20 Mn | 11.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.40 Mn |
| Jun 30, 2026 | 11.90 Mn |
| Mar 31, 2026 | 6.70 Mn |
| Dec 31, 2025 | 7.70 Mn |
| Sep 30, 2025 | 7.00 Mn |
| Jun 30, 2025 | 7.30 Mn |
| Mar 31, 2025 | 5.60 Mn |
| Dec 31, 2024 | 8.50 Mn |
| Sep 30, 2024 | 7.90 Mn |
| Jun 30, 2024 | 15.80 Mn |
| Mar 31, 2024 | 8.40 Mn |
| Dec 31, 2023 | 8.90 Mn |
| Sep 30, 2023 | 5.70 Mn |
| Jun 30, 2023 | 9.70 Mn |
| Mar 31, 2023 | 6.00 Mn |
| Dec 31, 2022 | 7.40 Mn |
| Sep 30, 2022 | 4.10 Mn |
| Jun 30, 2022 | 7.80 Mn |
| Mar 31, 2022 | 33.70 Mn |
| Dec 31, 2021 | 24.90 Mn |
API Access
Federal Signal Capital Expenditures 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=capital-expenditures&ticker=FSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();