Global Industrial (GIC) Shares Outstanding (Diluted) (2010 - 2026)
Global Industrial (GIC) posted Shares Outstanding (Diluted) of 38.2 million for Q2 2026, down 0.5% from 38.4 million a year earlier and down 0.3% from the prior quarter.
Global Industrial (GIC) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Global Industrial's Shares Outstanding (Diluted) came in at 38.4 million, unchanged from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In prior years, Global Industrial's Shares Outstanding (Diluted) was 38.4 million in FY2024 (+0.5%), 38.2 million in FY2023 (+0.3%), 38.1 million in FY2022 (+0.3%) and 38 million in FY2021 (+0.8%).
- Quarterly Shares Outstanding (Diluted) has run from a low of 38 million in Q3 2021 to a high of 38.5 million in Q3 2025 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in three of the last eight quarters, with growth averaging 0.1%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2021, with growth of 1.1%; the weakest was Q2 2026, with a decline of 0.5%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 38.3 million (Q1 2026), 38.4 million (Q4 2025) and 38.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 64.44 Bn | 63.20 Bn | 1.73 Bn | 62.63 Mn |
| 2 | W.W. Grainger | 60.37 Bn | 58.35 Bn | 1.98 Bn | 47.20 Mn |
| 3 | Fastenal | 57.63 Bn | 56.55 Bn | 1.06 Bn | 1.15 Bn |
| 4 | Ferguson Enterprises | 43.02 Bn | 40.24 Bn | 2.32 Bn | 194.80 Mn |
| 5 | Sunbelt Rentals Holdings | 31.00 Bn | 30.88 Bn | 1.25 Bn | 411.31 Mn |
| 6 | Reliance | 20.06 Bn | 19.10 Bn | 1.30 Bn | 51.38 Mn |
| 7 | Wesco International | 18.10 Bn | 15.41 Bn | 1.46 Bn | 49.40 Mn |
| 8 | Applied Industrial Technologies | 12.49 Bn | 12.37 Bn | 411.22 Mn | 37.86 Mn |
| 9 | Watsco | 10.72 Bn | 8.88 Bn | 578.93 Mn | 38.19 Mn |
| 10 | Global Industrial | 1.64 Bn | 1.36 Bn | 155.40 Mn | 38.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.20 Mn |
| Mar 31, 2026 | 38.30 Mn |
| Dec 31, 2025 | 38.40 Mn |
| Sep 30, 2025 | 38.50 Mn |
| Jun 30, 2025 | 38.40 Mn |
| Mar 31, 2025 | 38.40 Mn |
| Dec 31, 2024 | 38.40 Mn |
| Sep 30, 2024 | 38.40 Mn |
| Jun 30, 2024 | 38.40 Mn |
| Mar 31, 2024 | 38.40 Mn |
| Dec 31, 2023 | 38.20 Mn |
| Sep 30, 2023 | 38.20 Mn |
| Jun 30, 2023 | 38.20 Mn |
| Mar 31, 2023 | 38.20 Mn |
| Dec 31, 2022 | 38.10 Mn |
| Sep 30, 2022 | 38.10 Mn |
| Jun 30, 2022 | 38.10 Mn |
| Mar 31, 2022 | 38.10 Mn |
| Dec 31, 2021 | 38.00 Mn |
| Sep 30, 2021 | 38.00 Mn |
Global Industrial 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=GIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GIC", "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=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();