Federal Signal (FSS) Accounts Payables (2010 - 2026)
Federal Signal (FSS) posted Accounts Payables of $114.6 million for Q2 2026, up 11.5% from $102.8 million a year earlier but down 1.0% from the prior quarter.
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Analysis
Federal Signal (FSS) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Federal Signal's Accounts Payables came in at $98 million, up 24.1% from FY2024.
- Annual Accounts Payables shows a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- In prior years, Federal Signal's Accounts Payables was $79 million in FY2024 (+18.4%), $66.7 million in FY2023 (-7.9%), $72.4 million in FY2022 (+11.7%) and $64.8 million in FY2021 (+25.6%).
- Quarterly Accounts Payables has run from a low of $64.8 million in Q4 2021 to a high of $115.8 million in Q1 2026 over five years.
- On a year-over-year basis, Accounts Payables has increased in each of the last nine quarters, with growth averaging 15.6% over the last eight quarters.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q4 2021, with growth of 25.6%; the weakest was Q4 2023, with a decline of 7.9%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $115.8 million (Q1 2026), $98 million (Q4 2025) and $103.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 10.31 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 4.01 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 13.67 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 | 2.44 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 2.47 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.61 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 3.11 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 636.00 Mn |
| 10 | Federal Signal | 6.77 Bn | 6.51 Bn | 203.80 Mn | 114.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.60 Mn |
| Mar 31, 2026 | 115.80 Mn |
| Dec 31, 2025 | 98.00 Mn |
| Sep 30, 2025 | 103.10 Mn |
| Jun 30, 2025 | 102.80 Mn |
| Mar 31, 2025 | 103.80 Mn |
| Dec 31, 2024 | 79.00 Mn |
| Sep 30, 2024 | 88.90 Mn |
| Jun 30, 2024 | 87.00 Mn |
| Mar 31, 2024 | 88.80 Mn |
| Dec 31, 2023 | 66.70 Mn |
| Sep 30, 2023 | 82.40 Mn |
| Jun 30, 2023 | 86.70 Mn |
| Mar 31, 2023 | 95.60 Mn |
| Dec 31, 2022 | 72.40 Mn |
| Sep 30, 2022 | 80.90 Mn |
| Jun 30, 2022 | 77.90 Mn |
| Mar 31, 2022 | 80.70 Mn |
| Dec 31, 2021 | 64.80 Mn |
| Sep 30, 2021 | 65.60 Mn |
API Access
Federal Signal Accounts Payables 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=accounts-payables&ticker=FSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();