Green Planet Bio Engineering (GPLB) Total Current Liabilities (2018 - 2026)
Green Planet Bio Engineering's Total Current Liabilities was $517,825 in Q2 2026, up 8.8% from $476,079 a year earlier and up 1.2% from the prior quarter.
Green Planet Bio Engineering (GPLB) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Green Planet Bio Engineering came in at $500,976, up 7.7% from FY2024.
- Total Current Liabilities has now increased for seven consecutive years, with a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- In earlier years, Total Current 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 marks the highest quarterly Total Current Liabilities in data going back to Q4 2018.
- Compared with a year earlier, Total Current Liabilities has increased for 23 straight quarters, with growth averaging 8.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Current Liabilities ran from 6.5% in Q2 2025 to 12.5% in Q4 2023.
- Per Business Quant data, GPLB's Total Current Liabilities in the three quarters before Q2 2026 was $511,920 (Q1 2026), $500,976 (Q4 2025) and $484,678 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - | 44.58 Bn |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - | - |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - | 158.72 Bn |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - | 120.58 Bn |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn | 4.51 Bn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - | - |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - | - |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - | - |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn | 3.79 Bn |
| 10 | Green Planet Bio Engineering | 200,064.02 | 200,064.02 | - | 517,825.00 |
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 |
Green Planet Bio Engineering 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=GPLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=GPLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();