Gpgi (GPGI) Shares Outstanding (Diluted) (2020 - 2026)
Gpgi (GPGI) recorded Shares Outstanding (Diluted) of 292.35 million in Q2 2026, up 185.7% from 102.32 million a year earlier and up 8.3% from the prior quarter.
Gpgi (GPGI) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Gpgi reported Shares Outstanding (Diluted) of 110.52 million, up 151.1% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for three straight years, with a five-year compound annual growth rate of 38.3% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 44.01 million in FY2024 (+24.6%), 35.31 million in FY2023 (+8.5%), 32.56 million in FY2022 (-65.7%) and 94.93 million in FY2021 (+334.9%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2020.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 14 consecutive quarters, with growth averaging 89.9% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 334.9% in Q4 2021, against a decline of 65.7% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 269.99 million (Q1 2026), 110.52 million (Q4 2025) and 110.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn | 128.10 Mn |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn | 522.60 Mn |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn | 561.10 Mn |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn | 287.00 Mn |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn | 392.75 Mn |
| 10 | Gpgi | 3.64 Bn | 3.38 Bn | - | 292.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 292.35 Mn |
| Mar 31, 2026 | 269.99 Mn |
| Dec 31, 2025 | 110.52 Mn |
| Sep 30, 2025 | 110.27 Mn |
| Jun 30, 2025 | 102.32 Mn |
| Mar 31, 2025 | 113.27 Mn |
| Dec 31, 2024 | 44.01 Mn |
| Sep 30, 2024 | 38.21 Mn |
| Jun 30, 2024 | 96.64 Mn |
| Mar 31, 2024 | 96.24 Mn |
| Dec 31, 2023 | 35.31 Mn |
| Sep 30, 2023 | 35.77 Mn |
| Jun 30, 2023 | 35.53 Mn |
| Mar 31, 2023 | 94.74 Mn |
| Dec 31, 2022 | 32.56 Mn |
| Sep 30, 2022 | 19.66 Mn |
| Jun 30, 2022 | 32.36 Mn |
| Mar 31, 2022 | 32.27 Mn |
| Dec 31, 2021 | 94.93 Mn |
| Sep 30, 2021 | 22.29 Mn |
Gpgi 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=GPGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GPGI", "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=GPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();