Global Innovative Platforms (GIPL) Shares Outstanding (2020 - 2026)
Global Innovative Platforms (GIPL) reported Shares Outstanding of 48.78 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 20.6% from 40.44 million a year earlier and up 4.4% from the prior quarter.
Global Innovative Platforms (GIPL) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Global Innovative Platforms posted Shares Outstanding of 39.37 million, up 47.9% from FY2024.
- Shares Outstanding has a five-year compound annual growth rate of 129.4% (FY2020 to FY2025).
- By fiscal year, Shares Outstanding came in at 26.63 million in FY2024, 619,085 in FY2023 (unchanged), 619,085 in FY2022 (unchanged) and 619,085 in FY2021 (unchanged).
- The fiscal Q3 2026 figure ranks as the highest quarterly Shares Outstanding in data going back to fiscal Q1 2021.
- Year over year, Shares Outstanding has now increased in each of the last seven quarters, with growth averaging 39.5% over the last seven quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 0.0% (fiscal Q1 2022) to 73.2% (fiscal Q1 2025).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 46.72 million (Q2 2026), 44.54 million (Q1 2026) and 39.37 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.62 Bn | 1,105.21 Bn | 19.71 Bn | 892.40 Mn |
| 2 | Johnson & Johnson | 617.59 Bn | 536.12 Bn | 17.26 Bn | 2.41 Bn |
| 3 | AbbVie | 501.69 Bn | 474.80 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 368.29 Bn | 322.67 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 297.79 Bn | 261.78 Bn | 11.24 Bn | 1.94 Bn |
| 6 | Astrazeneca | 260.82 Bn | 234.50 Bn | 12.86 Bn | 1.55 Bn |
| 7 | Amgen | 236.53 Bn | 191.93 Bn | 7.24 Bn | 540.00 Mn |
| 8 | Gilead Sciences | 191.14 Bn | 165.33 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 169.69 Bn | 116.33 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Global Innovative Platforms | 24.88 Mn | 24.27 Mn | - | 48.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.78 Mn |
| Mar 31, 2026 | 46.72 Mn |
| Dec 31, 2025 | 44.54 Mn |
| Sep 30, 2025 | 39.37 Mn |
| Jun 30, 2025 | 40.44 Mn |
| Mar 31, 2025 | 38.43 Mn |
| Dec 31, 2024 | 35.75 Mn |
| Sep 30, 2024 | 26.63 Mn |
| Jun 30, 2024 | 27.31 Mn |
| Mar 31, 2024 | 27.31 Mn |
| Dec 31, 2023 | 20.64 Mn |
| Sep 30, 2023 | 619,085.00 |
| Jun 30, 2023 | 619,085.00 |
| Mar 31, 2023 | 619,085.00 |
| Dec 31, 2022 | 619,085.00 |
| Sep 30, 2022 | 619,085.00 |
| Jun 30, 2022 | 619,085.00 |
| Mar 31, 2022 | 619,085.00 |
| Dec 31, 2021 | 619,085.00 |
| Sep 30, 2021 | 619,085.00 |
Global Innovative Platforms Shares Outstanding 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&ticker=GIPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "GIPL", "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&ticker=GIPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();