Global Innovative Platforms (GIPL) Enterprise Value (2020 - 2026)
Global Innovative Platforms' Enterprise Value came in at $24.63 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 79.9% from $122.33 million a year earlier but up 0.5% from the prior quarter.
Global Innovative Platforms (GIPL) Enterprise Value (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Global Innovative Platforms reported Enterprise Value of $24.27 million, down 80.2% year-over-year; for FY2025 (ended Sep 30, 2025), it was $4.87 million, up 83.1% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of -44.2% (FY2020 to FY2025).
- Going back by fiscal year, Enterprise Value was $2.66 million in FY2024 (+309.6%), $650,039 in FY2023 (-32.7%), $965,773 in FY2022 (-77.7%) and $4.33 million in FY2021 (-95.2%).
- The five-year range for quarterly Enterprise Value is $619,085 (fiscal Q2 2022) to $122.33 million (fiscal Q3 2025).
- Year-over-year, Enterprise Value increased in five of the last eight quarters, with growth averaging 88.9%.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q4 2024 (growth of 309.6%), and the weakest in fiscal Q2 2022 (a decline of 87.5%).
- Business Quant data shows GIPL's Enterprise Value at $24.5 million (Q2 2026), $5.06 million (Q1 2026) and $4.87 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.82 Bn | 1,105.41 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.41 Bn | 535.94 Bn | 17.26 Bn |
| 3 | AbbVie | 501.29 Bn | 474.40 Bn | 12.70 Bn |
| 4 | Merck | 368.15 Bn | 322.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.07 Bn | 261.06 Bn | 11.24 Bn |
| 6 | Astrazeneca | 260.90 Bn | 234.58 Bn | 12.86 Bn |
| 7 | Amgen | 236.34 Bn | 191.74 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.00 Bn | 165.20 Bn | 6.22 Bn |
| 9 | Pfizer | 169.72 Bn | 116.36 Bn | 10.94 Bn |
| 10 | Global Innovative Platforms | 24.88 Mn | 24.27 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.63 Mn |
| Mar 31, 2026 | 24.50 Mn |
| Dec 31, 2025 | 5.06 Mn |
| Sep 30, 2025 | 4.87 Mn |
| Jun 30, 2025 | 122.33 Mn |
| Mar 31, 2025 | 7.82 Mn |
| Dec 31, 2024 | 3.73 Mn |
| Sep 30, 2024 | 2.66 Mn |
| Jun 30, 2024 | 30.04 Mn |
| Mar 31, 2024 | 30.04 Mn |
| Dec 31, 2023 | 22.70 Mn |
| Sep 30, 2023 | 650,039.22 |
| Jun 30, 2023 | 650,039.22 |
| Mar 31, 2023 | 650,039.22 |
| Dec 31, 2022 | 650,039.22 |
| Sep 30, 2022 | 965,772.56 |
| Jun 30, 2022 | 965,772.56 |
| Mar 31, 2022 | 619,085.00 |
| Dec 31, 2021 | 2.51 Mn |
| Sep 30, 2021 | 4.33 Mn |
Global Innovative Platforms Enterprise Value 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=enterprise-value&ticker=GIPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GIPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();