Federal Signal (FSS) Inventory (2010 - 2026)
Federal Signal (FSS) reported Inventory of $479.8 million for Q2 2026, up 34.6% from $356.5 million a year earlier and up 0.4% from the prior quarter.
Analysis
Federal Signal (FSS) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Federal Signal posted Inventory of $471.6 million, up 42.5% from FY2024.
- Inventory has increased for ten consecutive years, with a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- By year, Inventory came in at $331 million in FY2024 (+9.1%), $303.4 million in FY2023 (+3.7%), $292.7 million in FY2022 (+27.8%) and $229.1 million in FY2021 (+23.8%).
- The Q2 2026 figure ranks as the highest quarterly Inventory in data going back to Q4 2010.
- Year over year, Inventory has now increased in each of the last eight quarters, with growth averaging 18.8% over the last eight quarters.
- The high point for year-over-year Inventory in five years was Q4 2025 (growth of 42.5%); the low point was Q2 2024 (a decline of 3.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $477.8 million (Q1 2026), $471.6 million (Q4 2025) and $367.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Federal Signal | 6.77 Bn | 6.51 Bn | 203.80 Mn | 479.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 479.80 Mn |
| Mar 31, 2026 | 477.80 Mn |
| Dec 31, 2025 | 471.60 Mn |
| Sep 30, 2025 | 367.30 Mn |
| Jun 30, 2025 | 356.50 Mn |
| Mar 31, 2025 | 362.00 Mn |
| Dec 31, 2024 | 331.00 Mn |
| Sep 30, 2024 | 337.00 Mn |
| Jun 30, 2024 | 326.90 Mn |
| Mar 31, 2024 | 322.70 Mn |
| Dec 31, 2023 | 303.40 Mn |
| Sep 30, 2023 | 330.10 Mn |
| Jun 30, 2023 | 339.40 Mn |
| Mar 31, 2023 | 317.60 Mn |
| Dec 31, 2022 | 292.70 Mn |
| Sep 30, 2022 | 287.50 Mn |
| Jun 30, 2022 | 259.60 Mn |
| Mar 31, 2022 | 249.70 Mn |
| Dec 31, 2021 | 229.10 Mn |
| Sep 30, 2021 | 217.00 Mn |
API Access
Federal Signal Inventory 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=inventory&ticker=FSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();