GD Culture (GDC) Total Current Liabilities (2015 - 2026)
GD Culture (GDC) reported Total Current Liabilities of $1.2 million for Q2 2026, up 13.0% from $1.06 million a year earlier but down 37.3% from the prior quarter.
GD Culture (GDC) Total Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, GD Culture posted Total Current Liabilities of $1.21 million, down 17.6% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of -17.6% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $1.47 million in FY2024 (+265.6%), $403,169 in FY2023 (+20.8%), $333,784 in FY2022 (-98.2%) and $18.45 million in FY2021 (+478.5%).
- Five-year quarterly Total Current Liabilities spans a low of $111,110 in Q2 2023 and a high of $18.45 million in Q4 2021.
- Year over year, Total Current Liabilities gained in seven of the last eight quarters, with growth averaging 128.5%.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2021 (growth of 478.5%); the low point was Q2 2023 (a decline of 99.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.91 million (Q1 2026), $1.21 million (Q4 2025) and $2.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.40 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 13.13 Bn |
| 10 | GD Culture | 1.23 Mn | 1.52 Mn | - | 1.20 Mn |
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 | 1.06 Mn |
| Mar 31, 2025 | 1.57 Mn |
| Dec 31, 2024 | 1.47 Mn |
| Sep 30, 2024 | 740,293.00 |
| Jun 30, 2024 | 463,257.00 |
| Mar 31, 2024 | 542,674.00 |
| Dec 31, 2023 | 403,169.00 |
| Sep 30, 2023 | 330,729.00 |
| Jun 30, 2023 | 111,110.00 |
| Mar 31, 2023 | 118,418.00 |
| Dec 31, 2022 | 333,784.00 |
| Sep 30, 2022 | 5.71 Mn |
| Jun 30, 2022 | 16.53 Mn |
| Mar 31, 2022 | 15.05 Mn |
| Dec 31, 2021 | 18.45 Mn |
| Sep 30, 2021 | 11.50 Mn |
GD Culture 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=GDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=GDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();