Federal Signal (FSS) Total Non-Current Liabilities (2010 - 2026)
Federal Signal's Total Non-Current Liabilities was $906.9 million in Q2 2026, up 41.3% from $641.8 million a year earlier but down 8.9% from the prior quarter.
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Analysis
Federal Signal (FSS) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Federal Signal came in at $983.6 million, up 73.3% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $567.7 million in FY2024 (-5.8%), $602.4 million in FY2023 (-7.4%), $650.4 million in FY2022 (+14.4%) and $568.3 million in FY2021 (+17.9%).
- Quarterly Total Non-Current Liabilities has moved between $528.5 million (Q3 2021) and $996 million (Q1 2026) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for six straight quarters, with growth averaging 21.5% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2025 (growth of 73.3%); the worst was Q2 2024 (a decline of 18.9%).
- Per Business Quant data, FSS's Total Non-Current Liabilities in the three quarters before Q2 2026 was $996 million (Q1 2026), $983.6 million (Q4 2025) and $604.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Federal Signal | 6.77 Bn | 6.51 Bn | 203.80 Mn | 906.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 906.90 Mn |
| Mar 31, 2026 | 996.00 Mn |
| Dec 31, 2025 | 983.60 Mn |
| Sep 30, 2025 | 604.80 Mn |
| Jun 30, 2025 | 641.80 Mn |
| Mar 31, 2025 | 665.50 Mn |
| Dec 31, 2024 | 567.70 Mn |
| Sep 30, 2024 | 570.90 Mn |
| Jun 30, 2024 | 580.20 Mn |
| Mar 31, 2024 | 591.50 Mn |
| Dec 31, 2023 | 602.40 Mn |
| Sep 30, 2023 | 677.10 Mn |
| Jun 30, 2023 | 715.70 Mn |
| Mar 31, 2023 | 685.90 Mn |
| Dec 31, 2022 | 650.40 Mn |
| Sep 30, 2022 | 623.50 Mn |
| Jun 30, 2022 | 620.80 Mn |
| Mar 31, 2022 | 623.80 Mn |
| Dec 31, 2021 | 568.30 Mn |
| Sep 30, 2021 | 528.50 Mn |
API Access
Federal Signal Total Non-Current 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-non-current-liabilities&ticker=FSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();