Global Innovative Platforms (GIPL) Total Liabilities (2020 - 2026)
Global Innovative Platforms (GIPL) recorded Total Liabilities of $7,791 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 72.0% from $27,823 a year earlier but up 241.3% from the prior quarter.
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Analysis
Global Innovative Platforms (GIPL) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Global Innovative Platforms reported Total Liabilities of $11,609, down 65.0% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $33,153 in FY2024 (-90.9%), $364,368 in FY2023 (+179.3%), $130,471 in FY2022 (+347.4%) and $29,160 in FY2021 (+339.9%).
- Quarterly Total Liabilities has ranged from $2,283 in fiscal Q2 2026 to $364,368 in fiscal Q4 2023 over the past five years.
- On a year-over-year basis, Total Liabilities rose in 1 of the last eight quarters, with an average decline of 22.4%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 556.6% in fiscal Q1 2023, against a decline of 98.4% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2,283 (Q2 2026), $65,785 (Q1 2026) and $11,609 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Global Innovative Platforms | 24.88 Mn | 24.27 Mn | - | 7,791.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7,791.00 |
| Mar 31, 2026 | 2,283.00 |
| Dec 31, 2025 | 65,785.00 |
| Sep 30, 2025 | 11,609.00 |
| Jun 30, 2025 | 27,823.00 |
| Mar 31, 2025 | 3,229.00 |
| Dec 31, 2024 | 14,408.00 |
| Sep 30, 2024 | 33,153.00 |
| Jun 30, 2024 | 216,897.00 |
| Mar 31, 2024 | 200,998.00 |
| Dec 31, 2023 | 198,200.00 |
| Sep 30, 2023 | 364,368.00 |
| Jun 30, 2023 | 241,761.00 |
| Mar 31, 2023 | 241,711.00 |
| Dec 31, 2022 | 234,283.00 |
| Sep 30, 2022 | 130,471.00 |
| Jun 30, 2022 | 47,372.00 |
| Mar 31, 2022 | 40,763.00 |
| Dec 31, 2021 | 35,680.00 |
| Sep 30, 2021 | 29,160.00 |
API Access
Global Innovative Platforms Total Liabilities 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=total-liabilities&ticker=GIPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GIPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();