Hubbell (HUBB) Shares Outstanding (Diluted) (2009 - 2026)
Hubbell's Shares Outstanding (Diluted) was 53.1 million in Q2 2026, down 0.7% from 53.5 million a year earlier and down 0.4% from the prior quarter.
Hubbell (HUBB) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Hubbell came in at 53.5 million, down 0.9% from FY2024.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 54 million in FY2024 (unchanged), 54 million in FY2023 (-0.2%), 54.1 million in FY2022 (-1.1%) and 54.7 million in FY2021 (+0.4%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) in data going back to Q4 2009.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for six straight quarters, with an average decline of 0.6% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q4 2021 (growth of 0.4%); the worst was Q2 2022 (a decline of 1.5%).
- Per Business Quant data, HUBB's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 53.3 million (Q1 2026), 53.5 million (Q4 2025) and 53.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 462.50 Mn |
| 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 | 270.70 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 128.10 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 392.75 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 561.10 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 522.40 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 287.00 Mn |
| 10 | Hubbell | 23.97 Bn | 21.89 Bn | 613.00 Mn | 53.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.10 Mn |
| Mar 31, 2026 | 53.30 Mn |
| Dec 31, 2025 | 53.50 Mn |
| Sep 30, 2025 | 53.40 Mn |
| Jun 30, 2025 | 53.50 Mn |
| Mar 31, 2025 | 53.80 Mn |
| Dec 31, 2024 | 54.00 Mn |
| Sep 30, 2024 | 54.00 Mn |
| Jun 30, 2024 | 54.10 Mn |
| Mar 31, 2024 | 54.00 Mn |
| Dec 31, 2023 | 54.00 Mn |
| Sep 30, 2023 | 54.00 Mn |
| Jun 30, 2023 | 54.00 Mn |
| Mar 31, 2023 | 53.90 Mn |
| Dec 31, 2022 | 54.10 Mn |
| Sep 30, 2022 | 54.00 Mn |
| Jun 30, 2022 | 53.90 Mn |
| Mar 31, 2022 | 54.40 Mn |
| Dec 31, 2021 | 54.70 Mn |
| Sep 30, 2021 | 54.70 Mn |
Hubbell 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=HUBB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "HUBB", "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=HUBB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();