GD Culture (GDC) Total Liabilities (2015 - 2026)
GD Culture (GDC) posted Total Liabilities of $1.93 million for Q2 2026, down 4.2% from $2.01 million a year earlier and down 26.7% from the prior quarter.
GD Culture (GDC) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, GD Culture's Total Liabilities came in at $2.02 million, down 26.2% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -8.9% (FY2020 to FY2025).
- In prior years, GD Culture's Total Liabilities was $2.73 million in FY2024 (+33.4%), $2.05 million in FY2023 (+513.8%), $333,784 in FY2022 (-98.2%) and $18.46 million in FY2021 (+472.7%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q3 2023.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with growth averaging 15.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2024, with growth of 858.7%; the weakest was Q1 2023, with a decline of 99.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.63 million (Q1 2026), $2.02 million (Q4 2025) and $3.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | GD Culture | 1.23 Mn | 1.52 Mn | - | 1.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.93 Mn |
| Mar 31, 2026 | 2.63 Mn |
| Dec 31, 2025 | 2.02 Mn |
| Sep 30, 2025 | 3.84 Mn |
| Jun 30, 2025 | 2.01 Mn |
| Mar 31, 2025 | 2.67 Mn |
| Dec 31, 2024 | 2.73 Mn |
| Sep 30, 2024 | 2.23 Mn |
| Jun 30, 2024 | 2.02 Mn |
| Mar 31, 2024 | 2.20 Mn |
| Dec 31, 2023 | 2.05 Mn |
| Sep 30, 2023 | 1.72 Mn |
| Jun 30, 2023 | 211,110.00 |
| Mar 31, 2023 | 118,419.00 |
| Dec 31, 2022 | 333,784.00 |
| Sep 30, 2022 | 5.71 Mn |
| Jun 30, 2022 | 16.53 Mn |
| Mar 31, 2022 | 15.06 Mn |
| Dec 31, 2021 | 18.46 Mn |
| Sep 30, 2021 | 11.50 Mn |
GD Culture 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=GDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GDC", "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=GDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();