Federal Signal (FSS) Property, Plant & Equipment (Net) (2010 - 2026)
Federal Signal's Property, Plant & Equipment (Net) was $289.6 million in Q2 2026, up 22.3% from $236.8 million a year earlier and up 0.8% from the prior quarter.
Federal Signal (FSS) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Federal Signal came in at $274.6 million, up 25.4% from FY2024.
- Property, Plant & Equipment (Net) has now increased for nine consecutive years, with a five-year compound annual growth rate of 20.8% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $218.9 million in FY2024 (+14.7%), $190.8 million in FY2023 (+6.4%), $179.3 million in FY2022 (+26.4%) and $141.9 million in FY2021 (+32.7%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for 31 straight quarters, with growth averaging 18.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Property, Plant & Equipment (Net) ran from 5.3% in Q3 2021 to 53.6% in Q3 2022.
- Per Business Quant data, FSS's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $287.2 million (Q1 2026), $274.6 million (Q4 2025) and $237.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 1.18 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.88 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.24 Bn |
| 10 | Federal Signal | 7.10 Bn | 6.85 Bn | 203.80 Mn | 289.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 289.60 Mn |
| Mar 31, 2026 | 287.20 Mn |
| Dec 31, 2025 | 274.60 Mn |
| Sep 30, 2025 | 237.40 Mn |
| Jun 30, 2025 | 236.80 Mn |
| Mar 31, 2025 | 235.80 Mn |
| Dec 31, 2024 | 218.90 Mn |
| Sep 30, 2024 | 205.60 Mn |
| Jun 30, 2024 | 203.40 Mn |
| Mar 31, 2024 | 193.00 Mn |
| Dec 31, 2023 | 190.80 Mn |
| Sep 30, 2023 | 188.30 Mn |
| Jun 30, 2023 | 189.10 Mn |
| Mar 31, 2023 | 180.80 Mn |
| Dec 31, 2022 | 179.30 Mn |
| Sep 30, 2022 | 170.80 Mn |
| Jun 30, 2022 | 172.20 Mn |
| Mar 31, 2022 | 170.40 Mn |
| Dec 31, 2021 | 141.90 Mn |
| Sep 30, 2021 | 111.20 Mn |
Federal Signal Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=FSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();