GD Culture (GDC) Total Non-Current Liabilities (2017 - 2026)
GD Culture's Total Non-Current Liabilities came in at $1.2 million for Q2 2026, up 26.4% from $949,283 a year earlier but down 37.3% from the prior quarter.
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Analysis
GD Culture (GDC) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, GD Culture's Total Non-Current Liabilities was $1.21 million, down 3.5% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 104.8% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $1.26 million in FY2024 (-23.5%), $1.65 million in FY2023 and $8,738 in FY2021 (-74.1%).
- The five-year range for quarterly Total Non-Current Liabilities is $5,530 (Q2 2022) to $2.98 million (Q3 2025).
- Year-over-year, Total Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 13.5%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2025 (growth of 100.3%), and the weakest in Q4 2021 (a decline of 74.1%).
- Business Quant data shows GDC's Total Non-Current Liabilities at $1.91 million (Q1 2026), $1.21 million (Q4 2025) and $2.98 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.68 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 12.63 Bn |
| 10 | GD Culture | 1.23 Mn | 1.52 Mn | - | 1.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.20 Mn |
| Mar 31, 2026 | 1.91 Mn |
| Dec 31, 2025 | 1.21 Mn |
| Sep 30, 2025 | 2.98 Mn |
| Jun 30, 2025 | 949,283.00 |
| Mar 31, 2025 | 1.10 Mn |
| Dec 31, 2024 | 1.26 Mn |
| Sep 30, 2024 | 1.49 Mn |
| Jun 30, 2024 | 1.56 Mn |
| Mar 31, 2024 | 1.66 Mn |
| Dec 31, 2023 | 1.65 Mn |
| Sep 30, 2023 | 1.39 Mn |
| Jun 30, 2022 | 5,530.00 |
| Mar 31, 2022 | 7,246.00 |
| Dec 31, 2021 | 8,738.00 |
| Dec 31, 2020 | 33,698.00 |
| Sep 30, 2020 | 63,082.00 |
| Jun 30, 2020 | 60,681.00 |
| Mar 31, 2020 | 296,055.00 |
| Dec 31, 2019 | 300,677.00 |
API Access
GD Culture Total Non-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-non-current-liabilities&ticker=GDC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=GDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();