Federal Signal (FSS) Shares Outstanding (Diluted) (2010 - 2026)
Federal Signal's Shares Outstanding (Diluted) was 61.5 million in Q2 2026, up 0.3% from 61.3 million a year earlier and unchanged from the prior quarter.
Federal Signal (FSS) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
From Q2 2010 onward, Federal Signal has reported Shares Outstanding (Diluted) for 65 quarters.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 61.7 million in FY2024 (+0.3%), 61.5 million in FY2023 (+0.5%), 61.2 million in FY2022 (-1.1%) and 61.9 million in FY2021 (+0.3%).
- Quarterly Shares Outstanding (Diluted) has moved between 60.9 million (Q2 2022) and 61.9 million (Q4 2021) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) was higher in four of the last eight quarters, with an average decline of 0.1%.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q2 2023 (growth of 0.8%); the worst was Q2 2022 (a decline of 1.5%).
- Per Business Quant data, FSS's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 61.5 million (Q1 2026), 61.5 million (Q4 2025) and 61.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 286.42 Bn | 286.42 Bn | - | 462.50 Mn |
| 2 | Amphenol | 195.24 Bn | 188.76 Bn | 4.02 Bn | 2.58 Bn |
| 3 | Deere | 181.59 Bn | 149.68 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 142.97 Bn | 140.16 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 113.12 Bn | 111.24 Bn | 2.25 Bn | 128.10 Mn |
| 6 | Emerson Electric | 91.88 Bn | 84.61 Bn | 2.66 Bn | 561.10 Mn |
| 7 | 3M | 90.04 Bn | 71.48 Bn | 2.78 Bn | 522.60 Mn |
| 8 | Vertiv Holdings | 89.00 Bn | 77.85 Bn | 1.64 Bn | 392.68 Mn |
| 9 | Illinois Tool Works | 79.39 Bn | 76.06 Bn | 1.91 Bn | 285.30 Mn |
| 10 | Federal Signal | 6.82 Bn | 6.55 Bn | 189.20 Mn | 61.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 61.50 Mn |
| Jun 30, 2026 | 61.50 Mn |
| Mar 31, 2026 | 61.50 Mn |
| Dec 31, 2025 | 61.50 Mn |
| Sep 30, 2025 | 61.40 Mn |
| Jun 30, 2025 | 61.30 Mn |
| Mar 31, 2025 | 61.80 Mn |
| Dec 31, 2024 | 61.70 Mn |
| Sep 30, 2024 | 61.70 Mn |
| Jun 30, 2024 | 61.70 Mn |
| Mar 31, 2024 | 61.60 Mn |
| Dec 31, 2023 | 61.50 Mn |
| Sep 30, 2023 | 61.40 Mn |
| Jun 30, 2023 | 61.40 Mn |
| Mar 31, 2023 | 61.30 Mn |
| Dec 31, 2022 | 61.20 Mn |
| Sep 30, 2022 | 61.00 Mn |
| Jun 30, 2022 | 60.90 Mn |
| Mar 31, 2022 | 61.40 Mn |
| Dec 31, 2021 | 61.90 Mn |
Federal Signal Shares Outstanding (Diluted) 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-diluted&ticker=FSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();