Federal Signal (FSS) Cash & Equivalents (2010 - 2026)
Federal Signal (FSS) posted Cash & Equivalents of $62.8 million for Q2 2026, down 2.9% from $64.7 million a year earlier and down 12.0% from the prior quarter.
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Analysis
Federal Signal (FSS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Federal Signal's Cash & Equivalents came in at $63.7 million, down 30.1% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- In prior years, Federal Signal's Cash & Equivalents was $91.1 million in FY2024 (+49.3%), $61 million in FY2023 (+28.4%), $47.5 million in FY2022 (+17.3%) and $40.5 million in FY2021 (-50.4%).
- Quarterly Cash & Equivalents has run from a low of $31.2 million in Q2 2022 to a high of $91.1 million in Q4 2024 over five years.
- On a year-over-year basis, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 18.1%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2024, with growth of 79.8%; the weakest was Q3 2022, with a decline of 59.7%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $71.4 million (Q1 2026), $63.7 million (Q4 2025) and $54.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.81 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.18 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 2.96 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 839.00 Mn |
| 10 | Federal Signal | 7.10 Bn | 6.85 Bn | 203.80 Mn | 62.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.80 Mn |
| Mar 31, 2026 | 71.40 Mn |
| Dec 31, 2025 | 63.70 Mn |
| Sep 30, 2025 | 54.40 Mn |
| Jun 30, 2025 | 64.70 Mn |
| Mar 31, 2025 | 57.50 Mn |
| Dec 31, 2024 | 91.10 Mn |
| Sep 30, 2024 | 73.70 Mn |
| Jun 30, 2024 | 48.60 Mn |
| Mar 31, 2024 | 48.90 Mn |
| Dec 31, 2023 | 61.00 Mn |
| Sep 30, 2023 | 41.00 Mn |
| Jun 30, 2023 | 48.80 Mn |
| Mar 31, 2023 | 38.40 Mn |
| Dec 31, 2022 | 47.50 Mn |
| Sep 30, 2022 | 35.50 Mn |
| Jun 30, 2022 | 31.20 Mn |
| Mar 31, 2022 | 39.20 Mn |
| Dec 31, 2021 | 40.50 Mn |
| Sep 30, 2021 | 88.00 Mn |
API Access
Federal Signal Cash & Equivalents 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=cash-and-equivalents&ticker=FSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();