Global Innovative Platforms (GIPL) Total Current Liabilities (2020 - 2026)
Global Innovative Platforms (GIPL) reported Total Current Liabilities of $7,791 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 72.0% from $27,823 a year earlier but up 241.1% from the prior quarter.
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Analysis
Global Innovative Platforms (GIPL) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Global Innovative Platforms posted Total Current Liabilities of $11,609, down 65.0% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- By fiscal year, Total Current 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%).
- Five-year quarterly Total Current Liabilities spans a low of $2,284 in fiscal Q2 2026 and a high of $364,368 in fiscal Q4 2023.
- Year over year, Total Current Liabilities gained in 1 of the last eight quarters, with an average decline of 22.4%.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q1 2023 (growth of 556.6%); the low point was fiscal Q2 2025 (a decline of 98.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $2,284 (Q2 2026), $65,784 (Q1 2026) and $11,609 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 3.94 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 | 2,284.00 |
| Dec 31, 2025 | 65,784.00 |
| Sep 30, 2025 | 11,609.00 |
| Jun 30, 2025 | 27,823.00 |
| Mar 31, 2025 | 3,229.00 |
| Dec 31, 2024 | 14,407.00 |
| Sep 30, 2024 | 33,153.00 |
| Jun 30, 2024 | 216,897.00 |
| Mar 31, 2024 | 200,997.00 |
| 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 Current 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-current-liabilities&ticker=GIPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=GIPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();