Federal Signal (FSS) Total Liabilities (2010 - 2026)
Federal Signal (FSS) posted Total Liabilities of $932.4 million for Q2 2026, up 42.6% from $653.8 million a year earlier but down 8.6% from the prior quarter.
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Analysis
Federal Signal (FSS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Federal Signal's Total Liabilities came in at $1.01 billion, up 74.5% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- In prior years, Federal Signal's Total Liabilities was $579.1 million in FY2024 (-6.4%), $618.6 million in FY2023 (-6.8%), $663.4 million in FY2022 (+14.0%) and $582.1 million in FY2021 (+14.9%).
- Quarterly Total Liabilities has run from a low of $548.1 million in Q3 2021 to a high of $1.02 billion in Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last six quarters, with growth averaging 21.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2025, with growth of 74.5%; the weakest was Q2 2024, with a decline of 19.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.02 billion (Q1 2026), $1.01 billion (Q4 2025) and $616.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Federal Signal | 6.77 Bn | 6.51 Bn | 203.80 Mn | 932.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 932.40 Mn |
| Mar 31, 2026 | 1.02 Bn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 616.70 Mn |
| Jun 30, 2025 | 653.80 Mn |
| Mar 31, 2025 | 677.00 Mn |
| Dec 31, 2024 | 579.10 Mn |
| Sep 30, 2024 | 584.20 Mn |
| Jun 30, 2024 | 591.90 Mn |
| Mar 31, 2024 | 607.00 Mn |
| Dec 31, 2023 | 618.60 Mn |
| Sep 30, 2023 | 698.70 Mn |
| Jun 30, 2023 | 736.80 Mn |
| Mar 31, 2023 | 702.30 Mn |
| Dec 31, 2022 | 663.40 Mn |
| Sep 30, 2022 | 637.10 Mn |
| Jun 30, 2022 | 634.70 Mn |
| Mar 31, 2022 | 637.30 Mn |
| Dec 31, 2021 | 582.10 Mn |
| Sep 30, 2021 | 548.10 Mn |
API Access
Federal Signal Total Liabilities 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=total-liabilities&ticker=FSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();