GD Culture (GDC) Other Accumulated Expenses (2019 - 2026)
GD Culture (GDC) reported Other Accumulated Expenses of $100,000 for Q2 2026, compared with $178.00 a year earlier.
Analysis
GD Culture (GDC) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, GD Culture posted Other Accumulated Expenses of $178.00, unchanged from FY2024.
- Other Accumulated Expenses has a three-year compound annual growth rate of -56.1% (FY2022 to FY2025).
- By year, Other Accumulated Expenses came in at $178.00 in FY2024 (-99.2%), $23,338 in FY2023 and $2,099 in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Other Accumulated Expenses since Q3 2019.
- Per Business Quant data, the three quarters before Q2 2026 came in at $178.00 (Q1 2026), $178.00 (Q4 2025) and $178.00 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | GD Culture | 1.40 Mn | 1.68 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100,000.00 |
| Mar 31, 2026 | 178.00 |
| Dec 31, 2025 | 178.00 |
| Sep 30, 2025 | 178.00 |
| Jun 30, 2025 | 178.00 |
| Mar 31, 2025 | 998.00 |
| Dec 31, 2024 | 178.00 |
| Sep 30, 2024 | 287.00 |
| Dec 31, 2023 | 23,338.00 |
| Sep 30, 2023 | 2,729.00 |
| Dec 31, 2022 | 2,099.00 |
| Sep 30, 2019 | 126,888.00 |
| Jun 30, 2019 | 128,351.00 |
| Mar 31, 2019 | 127,588.00 |
API Access
GD Culture Other Accumulated Expenses 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=other-accumulated-expenses&ticker=GDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=GDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();