GD Culture (GDC) Depreciation and Depletion (2019 - 2026)
GD Culture (GDC) posted Depreciation and Depletion of $1,095 for Q2 2026, up 1.9% from $1,075 a year earlier but down 31.8% from the prior quarter.
GD Culture (GDC) Depreciation and Depletion (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at GD Culture was $4,853, up 7.4% year-over-year; for FY2025, it came in at $4,304, down 9.0% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of -26.4% (FY2020 to FY2025).
- In prior years, GD Culture's Depreciation and Depletion was $4,730 in FY2024 (+181.7%), $1,679 in FY2023 (+133.8%), $718.00 in FY2022 (-98.8%) and $59,089 in FY2021 (+197.4%).
- Quarterly Depreciation and Depletion has run from a low of -$1.18 million in Q4 2021 to a high of $530,974 in Q3 2021 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in four of the last eight quarters, with growth averaging 15.1%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q1 2022, with growth of 142.2%; the weakest was Q2 2022, with a decline of 97.3%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $1,606 (Q1 2026), $1,076 (Q4 2025) and $1,076 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | - |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 31.50 Mn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 26.40 Mn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | - |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | - |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | - |
| 10 | GD Culture | 1.31 Mn | 1.59 Mn | - | 1,095.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,095.00 |
| Mar 31, 2026 | 1,606.00 |
| Dec 31, 2025 | 1,076.00 |
| Sep 30, 2025 | 1,076.00 |
| Jun 30, 2025 | 1,075.00 |
| Mar 31, 2025 | 1,077.00 |
| Dec 31, 2024 | 1,182.00 |
| Sep 30, 2024 | 1,183.00 |
| Jun 30, 2024 | 1,182.00 |
| Mar 31, 2024 | 1,183.00 |
| Dec 31, 2023 | 928.00 |
| Sep 30, 2023 | 663.00 |
| Dec 31, 2022 | -32,474.00 |
| Sep 30, 2022 | -197.00 |
| Jun 30, 2022 | 18,892.00 |
| Mar 31, 2022 | 14,497.00 |
| Dec 31, 2021 | -1.18 Mn |
| Sep 30, 2021 | 530,974.00 |
| Jun 30, 2021 | 700,520.00 |
| Mar 31, 2021 | 5,986.00 |
GD Culture Depreciation and Depletion 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=depreciation-and-depletion&ticker=GDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=GDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();