Federal Signal (FSS) Tax Provisions (2010 - 2026)
Federal Signal (FSS) recorded Tax Provisions of $25.3 million in Q2 2026, up 15.0% from $22 million a year earlier and up 16.1% from the prior quarter.
Federal Signal (FSS) Tax Provisions (2010 - 2026) Analysis & Trends
On a TTM basis, Federal Signal's Tax Provisions came in at $87.3 million as of Jun 30, 2026, up 26.0% year-over-year; for FY2025, it came in at $77.9 million, up 63.7% from FY2024.
- Annual Tax Provisions has increased for four straight years, with a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $47.6 million in FY2024 (+4.4%), $45.6 million in FY2023 (+49.5%), $30.5 million in FY2022 (+79.4%) and $17 million in FY2021 (-40.4%).
- The Q2 2026 figure is the highest quarterly Tax Provisions since Q4 2010.
- On a year-over-year basis, Tax Provisions has increased for five consecutive quarters, with growth averaging 26.5% over the last seven quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 181.6% in Q3 2023, against a decline of 43.4% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $21.8 million (Q1 2026), $17.8 million (Q4 2025) and $22.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Tenaris | 63.59 Bn | 34.88 Bn | 984.66 Mn | -81.94 Mn |
| 2 | Rockwell Automation | 47.72 Bn | 45.91 Bn | 1.14 Bn | 62.00 Mn |
| 3 | Hubbell | 24.28 Bn | 22.20 Bn | 613.00 Mn | 61.50 Mn |
| 4 | Graco | 10.60 Bn | 8.61 Bn | 296.22 Mn | 30.83 Mn |
| 5 | Allison Transmission Holdings | 8.85 Bn | 5.75 Bn | 515.00 Mn | 47.00 Mn |
| 6 | Advanced Energy Industries | 8.85 Bn | 5.20 Bn | 236.10 Mn | 12.10 Mn |
| 7 | Flowserve | 8.84 Bn | 5.79 Bn | 384.73 Mn | 17.10 Mn |
| 8 | Pentair | 8.82 Bn | 8.43 Bn | 395.00 Mn | 18.30 Mn |
| 9 | MSA Safety | 7.05 Bn | 6.33 Bn | 249.29 Mn | 25.19 Mn |
| 10 | Federal Signal | 6.98 Bn | 6.72 Bn | 203.80 Mn | 25.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.30 Mn |
| Mar 31, 2026 | 21.80 Mn |
| Dec 31, 2025 | 17.80 Mn |
| Sep 30, 2025 | 22.40 Mn |
| Jun 30, 2025 | 22.00 Mn |
| Mar 31, 2025 | 15.70 Mn |
| Dec 31, 2024 | 12.90 Mn |
| Sep 30, 2024 | 18.70 Mn |
| Jun 30, 2024 | 16.70 Mn |
| Mar 31, 2024 | -700,000.00 |
| Dec 31, 2023 | 12.10 Mn |
| Sep 30, 2023 | 13.80 Mn |
| Jun 30, 2023 | 12.40 Mn |
| Mar 31, 2023 | 7.30 Mn |
| Dec 31, 2022 | 7.40 Mn |
| Sep 30, 2022 | 4.90 Mn |
| Jun 30, 2022 | 11.10 Mn |
| Mar 31, 2022 | 7.10 Mn |
| Dec 31, 2021 | -300,000.00 |
| Sep 30, 2021 | 4.30 Mn |
Federal Signal Tax Provisions 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=tax-provisions&ticker=FSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();