Global Innovative Platforms (GIPL) Operating Expenses (2020 - 2026)
Global Innovative Platforms' Operating Expenses came in at $292,311 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 38.0% from $211,818 a year earlier and up 13.3% from the prior quarter.
Global Innovative Platforms (GIPL) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Global Innovative Platforms reported Operating Expenses of $864,242, up 54.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $718,251, up 427.4% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 140.9% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $136,197 in FY2024 (-51.8%), $282,786 in FY2023 (+425.5%), $53,816 in FY2022 (-26.6%) and $73,273 in FY2021 (+727.1%).
- The fiscal Q3 2026 figure represents the highest quarterly Operating Expenses in data going back to fiscal Q1 2021.
- Year-over-year, Operating Expenses increased in four of the last six quarters, with growth averaging 64.4%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2023 (growth of 248.6%), and the weakest in fiscal Q2 2024 (a decline of 94.4%).
- Business Quant data shows GIPL's Operating Expenses at $257,886 (Q2 2026), $79,429 (Q1 2026) and $234,616 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Global Innovative Platforms | 24.88 Mn | 24.27 Mn | - | 292,311.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 292,311.00 |
| Mar 31, 2026 | 257,886.00 |
| Dec 31, 2025 | 79,429.00 |
| Sep 30, 2025 | 234,616.00 |
| Jun 30, 2025 | 211,818.00 |
| Mar 31, 2025 | 151,351.00 |
| Dec 31, 2024 | 120,467.00 |
| Sep 30, 2024 | 76,482.00 |
| Jun 30, 2024 | 6,360.00 |
| Mar 31, 2024 | 3,887.00 |
| Dec 31, 2023 | 49,469.00 |
| Sep 30, 2023 | 124,100.00 |
| Jun 30, 2023 | 2,650.00 |
| Mar 31, 2023 | 68,870.00 |
| Dec 31, 2022 | 87,166.00 |
| Sep 30, 2022 | 35,604.00 |
| Jun 30, 2022 | 6,609.00 |
| Mar 31, 2022 | 5,083.00 |
| Dec 31, 2021 | 6,520.00 |
| Sep 30, 2021 | 21,677.00 |
Global Innovative Platforms Operating Expenses 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=operating-expenses&ticker=GIPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GIPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();