Green Planet Bio Engineering (GPLB) Total Liabilities (2010 - 2026)
Green Planet Bio Engineering's Total Liabilities came in at $517,825 for Q2 2026, up 8.8% from $476,079 a year earlier and up 1.2% from the prior quarter.
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Analysis
Green Planet Bio Engineering (GPLB) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Green Planet Bio Engineering's Total Liabilities was $500,976, up 7.7% from FY2024.
- Total Liabilities has increased in each of the last ten years, with a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $465,134 in FY2024 (+8.3%), $429,590 in FY2023 (+12.5%), $381,920 in FY2022 (+9.3%) and $349,387 in FY2021 (+10.4%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year-over-year, Total Liabilities has increased for 37 consecutive quarters, with growth averaging 8.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 6.5% in Q2 2025 to 12.5% in Q4 2023.
- Business Quant data shows GPLB's Total Liabilities at $511,920 (Q1 2026), $500,976 (Q4 2025) and $484,678 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - | 47.01 Bn |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - | 479.76 Bn |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - | 168.16 Bn |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - | 144.63 Bn |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn | 15.35 Bn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - | - |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - | 225.06 Bn |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - | 165.90 Bn |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn | 4.98 Bn |
| 10 | Green Planet Bio Engineering | 200,064.02 | 200,064.02 | - | 517,825.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 517,825.00 |
| Mar 31, 2026 | 511,920.00 |
| Dec 31, 2025 | 500,976.00 |
| Sep 30, 2025 | 484,678.00 |
| Jun 30, 2025 | 476,079.00 |
| Mar 31, 2025 | 471,974.00 |
| Dec 31, 2024 | 465,134.00 |
| Sep 30, 2024 | 452,343.00 |
| Jun 30, 2024 | 446,918.00 |
| Mar 31, 2024 | 436,055.00 |
| Dec 31, 2023 | 429,590.00 |
| Sep 30, 2023 | 416,040.00 |
| Jun 30, 2023 | 408,288.00 |
| Mar 31, 2023 | 399,760.00 |
| Dec 31, 2022 | 381,920.00 |
| Sep 30, 2022 | 374,282.00 |
| Jun 30, 2022 | 368,494.00 |
| Mar 31, 2022 | 363,045.00 |
| Dec 31, 2021 | 349,387.00 |
| Sep 30, 2021 | 341,651.00 |
API Access
Green Planet Bio Engineering 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=GPLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GPLB", "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=GPLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();