GD Culture (GDC) Change in Accured Expenses (2016 - 2026)
GD Culture (GDC) recorded Change in Accured Expenses of -$149,296 in Q2 2026, compared with -$294,681 a year earlier.
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Analysis
GD Culture (GDC) Change in Accured Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, GD Culture's Change in Accured Expenses came in at $449,130 as of Jun 30, 2026, up 979.6% year-over-year; for FY2025, it was $1,154, down 99.7% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -48.3% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at $378,536 in FY2024, $10,457 in FY2023 (-95.4%), $227,636 in FY2022 (-95.8%) and $5.36 million in FY2021.
- Quarterly Change in Accured Expenses has ranged from -$294,681 in Q2 2025 to $5.22 million in Q4 2021 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last five quarters, with growth averaging 340.6%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 794.8% in Q4 2024, against a decline of 94.6% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $351,309 (Q1 2026), -$1,245 (Q4 2025) and $248,362 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | GD Culture | 1.40 Mn | 1.68 Mn | - | -149,296.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -149,296.00 |
| Mar 31, 2026 | 351,309.00 |
| Dec 31, 2025 | -1,245.00 |
| Sep 30, 2025 | 248,362.00 |
| Jun 30, 2025 | -294,681.00 |
| Mar 31, 2025 | 48,718.00 |
| Dec 31, 2024 | 240,406.00 |
| Sep 30, 2024 | 47,158.00 |
| Jun 30, 2024 | -79,178.00 |
| Mar 31, 2024 | 170,150.00 |
| Dec 31, 2023 | 26,867.00 |
| Sep 30, 2023 | 148,197.00 |
| Jun 30, 2023 | 4,307.00 |
| Mar 31, 2023 | -168,914.00 |
| Dec 31, 2022 | 327,528.00 |
| Sep 30, 2022 | 153,278.00 |
| Jun 30, 2022 | 38,455.00 |
| Mar 31, 2022 | -291,625.00 |
| Dec 31, 2021 | 5.22 Mn |
| Sep 30, 2021 | 80,149.00 |
API Access
GD Culture Change in Accured 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=change-in-accured-expenses&ticker=GDC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=GDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();