Federal Signal (FSS) Receivables (2010 - 2026)
Federal Signal (FSS) posted Receivables of $288.8 million for Q2 2026, up 21.2% from $238.3 million a year earlier but down 6.9% from the prior quarter.
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Analysis
Federal Signal (FSS) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Federal Signal's Receivables came in at $292.2 million, up 48.8% from FY2024.
- Annual Receivables has increased for five consecutive years, with a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- In prior years, Federal Signal's Receivables was $196.4 million in FY2024 (+5.5%), $186.2 million in FY2023 (+7.1%), $173.8 million in FY2022 (+27.8%) and $136 million in FY2021 (+7.1%).
- Quarterly Receivables has run from a low of $136 million in Q4 2021 to a high of $310.1 million in Q1 2026 over five years.
- On a year-over-year basis, Receivables has increased in each of the last nine quarters, with growth averaging 20.7% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2025, with growth of 48.8%; the weakest was Q3 2021, with a decline of 2.9%.
- According to Business Quant data, Receivables for the three prior quarters was $310.1 million (Q1 2026), $292.2 million (Q4 2025) and $263.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 13.19 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 6.79 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.19 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 7.69 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 3.37 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 3.75 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 3.65 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 3.93 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 3.56 Bn |
| 10 | Federal Signal | 6.77 Bn | 6.51 Bn | 203.80 Mn | 288.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 288.80 Mn |
| Mar 31, 2026 | 310.10 Mn |
| Dec 31, 2025 | 292.20 Mn |
| Sep 30, 2025 | 263.60 Mn |
| Jun 30, 2025 | 238.30 Mn |
| Mar 31, 2025 | 223.20 Mn |
| Dec 31, 2024 | 196.40 Mn |
| Sep 30, 2024 | 220.30 Mn |
| Jun 30, 2024 | 213.60 Mn |
| Mar 31, 2024 | 191.40 Mn |
| Dec 31, 2023 | 186.20 Mn |
| Sep 30, 2023 | 213.30 Mn |
| Jun 30, 2023 | 193.40 Mn |
| Mar 31, 2023 | 191.60 Mn |
| Dec 31, 2022 | 173.80 Mn |
| Sep 30, 2022 | 170.00 Mn |
| Jun 30, 2022 | 169.90 Mn |
| Mar 31, 2022 | 156.40 Mn |
| Dec 31, 2021 | 136.00 Mn |
| Sep 30, 2021 | 140.80 Mn |
API Access
Federal Signal Receivables 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=receivables&ticker=FSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();