Federal Signal (FSS) Operating Income (2010 - 2026)
Federal Signal's Operating Income came in at $118.2 million for Q2 2026, up 21.0% from $97.7 million a year earlier and up 18.6% from the prior quarter.
Federal Signal (FSS) Operating Income (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Federal Signal reported Operating Income of $395.4 million, up 27.8% year-over-year; for FY2025, it was $340.9 million, up 21.1% from FY2024.
- Operating Income has increased in each of the last four years, with a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- Going back by year, Operating Income was $281.4 million in FY2024 (+25.3%), $224.5 million in FY2023 (+39.6%), $160.8 million in FY2022 (+23.0%) and $130.7 million in FY2021 (-0.5%).
- The Q2 2026 figure represents the highest quarterly Operating Income in data going back to Q2 2010.
- Year-over-year, Operating Income has increased for 18 consecutive quarters, with growth averaging 23.7% over the last eight quarters.
- The fastest year-over-year change in Operating Income over five years came in Q3 2023 (growth of 58.2%), and the weakest in Q4 2021 (a decline of 10.9%).
- Business Quant data shows FSS's Operating Income at $99.7 million (Q1 2026), $83.5 million (Q4 2025) and $94 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.30 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 1.86 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.39 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.37 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 637.90 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.31 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 984.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.15 Bn |
| 10 | Federal Signal | 6.77 Bn | 6.51 Bn | 203.80 Mn | 118.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118.20 Mn |
| Mar 31, 2026 | 99.70 Mn |
| Dec 31, 2025 | 83.50 Mn |
| Sep 30, 2025 | 94.00 Mn |
| Jun 30, 2025 | 97.70 Mn |
| Mar 31, 2025 | 65.70 Mn |
| Dec 31, 2024 | 70.10 Mn |
| Sep 30, 2024 | 75.90 Mn |
| Jun 30, 2024 | 81.10 Mn |
| Mar 31, 2024 | 54.30 Mn |
| Dec 31, 2023 | 63.10 Mn |
| Sep 30, 2023 | 62.50 Mn |
| Jun 30, 2023 | 59.40 Mn |
| Mar 31, 2023 | 39.50 Mn |
| Dec 31, 2022 | 46.60 Mn |
| Sep 30, 2022 | 39.50 Mn |
| Jun 30, 2022 | 46.20 Mn |
| Mar 31, 2022 | 28.50 Mn |
| Dec 31, 2021 | 30.10 Mn |
| Sep 30, 2021 | 34.30 Mn |
Federal Signal Operating Income 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=operating-income&ticker=FSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();