Federal Signal (FSS) Shares Outstanding (Entity) (2010 - 2026)
Federal Signal (FSS) posted Shares Outstanding (Entity) of 61.04 million for Q2 2026, up 0.4% from 60.79 million a year earlier and up 0.1% from the prior quarter.
Federal Signal (FSS) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Federal Signal's Shares Outstanding (Entity) came in at 60.9 million, down 0.3% from FY2024.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In prior years, Federal Signal's Shares Outstanding (Entity) was 61.1 million in FY2024 (+0.2%), 61 million in FY2023 (+0.4%), 60.75 million in FY2022 (-0.3%) and 60.93 million in FY2021 (+0.6%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Entity) since Q4 2024.
- On a year-over-year basis, Shares Outstanding (Entity) increased in four of the last eight quarters, with an average decline of 0.1%.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q3 2021, with growth of 0.9%; the weakest was Q2 2022, with a decline of 0.8%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 61 million (Q1 2026), 60.9 million (Q4 2025) and 60.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 326.58 Bn | 298.27 Bn | 7.76 Bn | 459.70 Mn |
| 2 | Amphenol | 191.52 Bn | 186.10 Bn | 3.55 Bn | 2.47 Bn |
| 3 | Deere | 174.65 Bn | 142.74 Bn | 4.66 Bn | 269.63 Mn |
| 4 | Eaton | 149.24 Bn | 146.42 Bn | 2.86 Bn | 388.40 Mn |
| 5 | Parker-Hannifin | 113.85 Bn | 111.97 Bn | 2.25 Bn | 126.05 Mn |
| 6 | Emerson Electric | 91.94 Bn | 84.68 Bn | 2.66 Bn | 557.80 Mn |
| 7 | 3M | 89.09 Bn | 70.53 Bn | 2.78 Bn | 516.73 Mn |
| 8 | Vertiv Holdings | 80.31 Bn | 70.93 Bn | 1.23 Bn | 384.94 Mn |
| 9 | Illinois Tool Works | 79.71 Bn | 76.27 Bn | 1.90 Bn | 284.80 Mn |
| 10 | Federal Signal | 7.01 Bn | 6.76 Bn | 203.80 Mn | 61.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.04 Mn |
| Mar 31, 2026 | 61.00 Mn |
| Dec 31, 2025 | 60.90 Mn |
| Sep 30, 2025 | 60.81 Mn |
| Jun 30, 2025 | 60.79 Mn |
| Mar 31, 2025 | 60.97 Mn |
| Dec 31, 2024 | 61.10 Mn |
| Sep 30, 2024 | 61.11 Mn |
| Jun 30, 2024 | 61.15 Mn |
| Mar 31, 2024 | 61.10 Mn |
| Dec 31, 2023 | 61.00 Mn |
| Sep 30, 2023 | 60.93 Mn |
| Jun 30, 2023 | 60.99 Mn |
| Mar 31, 2023 | 60.89 Mn |
| Dec 31, 2022 | 60.75 Mn |
| Sep 30, 2022 | 60.64 Mn |
| Jun 30, 2022 | 60.63 Mn |
| Mar 31, 2022 | 60.61 Mn |
| Dec 31, 2021 | 60.93 Mn |
| Sep 30, 2021 | 61.07 Mn |
Federal Signal Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=FSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();