Group 1 Automotive (GPI) Shares Outstanding (Diluted) (2010 - 2026)
Group 1 Automotive (GPI) recorded Shares Outstanding (Diluted) of 11.84 million in Q2 2026, down 7.8% from 12.84 million a year earlier and down 0.5% from the prior quarter.
Group 1 Automotive (GPI) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Group 1 Automotive reported Shares Outstanding (Diluted) of 12.74 million, down 3.9% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for 12 straight years, with a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 13.25 million in FY2024 (-3.5%), 13.73 million in FY2023 (-11.4%), 15.5 million in FY2022 (-12.5%) and 17.72 million in FY2021 (-0.5%).
- The Q2 2026 figure is the lowest quarterly Shares Outstanding (Diluted) in data going back to Q2 2010.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined for 19 consecutive quarters, with an average decline of 4.6% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding (Diluted) ran from 0.0% in Q3 2021 to 16.2% in Q1 2023.
- Per Business Quant, the preceding three quarters came in at 11.9 million (Q1 2026), 12.74 million (Q4 2025) and 12.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,699.85 Bn | 2,216.54 Bn | 104.83 Bn | 10.90 Bn |
| 2 | Home Depot | 327.03 Bn | 320.28 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 162.28 Bn | 139.83 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 114.66 Bn | 107.62 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Ross Stores | 75.66 Bn | 58.58 Bn | 2.12 Bn | 319.45 Mn |
| 6 | O Reilly Automotive | 75.09 Bn | 74.17 Bn | 2.52 Bn | 828.88 Mn |
| 7 | Target | 71.82 Bn | 66.41 Bn | 8.94 Bn | 456.60 Mn |
| 8 | Carvana | 64.53 Bn | 56.13 Bn | 1.38 Bn | 739.96 Mn |
| 9 | Autozone | 53.43 Bn | 52.33 Bn | 2.52 Bn | 16.85 Mn |
| 10 | Group 1 Automotive | 2.90 Bn | 2.63 Bn | 860.60 Mn | 11.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.84 Mn |
| Mar 31, 2026 | 11.90 Mn |
| Dec 31, 2025 | 12.74 Mn |
| Sep 30, 2025 | 12.80 Mn |
| Jun 30, 2025 | 12.84 Mn |
| Mar 31, 2025 | 13.10 Mn |
| Dec 31, 2024 | 13.25 Mn |
| Sep 30, 2024 | 13.22 Mn |
| Jun 30, 2024 | 13.30 Mn |
| Mar 31, 2024 | 13.40 Mn |
| Dec 31, 2023 | 13.73 Mn |
| Sep 30, 2023 | 13.72 Mn |
| Jun 30, 2023 | 13.82 Mn |
| Mar 31, 2023 | 13.91 Mn |
| Dec 31, 2022 | 15.50 Mn |
| Sep 30, 2022 | 15.25 Mn |
| Jun 30, 2022 | 16.01 Mn |
| Mar 31, 2022 | 16.60 Mn |
| Dec 31, 2021 | 17.72 Mn |
| Sep 30, 2021 | 17.84 Mn |
Group 1 Automotive 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=GPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GPI", "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=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();