Wenyuan (WYGC) Depreciation & Amortization (CF) (2022 - 2026)
Wenyuan (WYGC) posted Depreciation & Amortization (CF) of $1,897 for Q2 2026, down 55.1% from $4,227 a year earlier but up 0.4% from the prior quarter.
Wenyuan (WYGC) Depreciation & Amortization (CF) (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation & Amortization (CF) at Wenyuan was $12,346, down 27.1% year-over-year; for FY2025, it was $17,382, up 19.6% from FY2024.
- Annual Depreciation & Amortization (CF) has increased for three consecutive years, with a three-year compound annual growth rate of 57.7% (FY2022 to FY2025).
- In prior years, Wenyuan's Depreciation & Amortization (CF) was $14,528 in FY2024 (+15.3%), $12,604 in FY2023 (+184.3%) and $4,434 in FY2022.
- Quarterly Depreciation & Amortization (CF) has run from a low of $143.00 in Q1 2022 to a high of $4,596 in Q1 2025 over five years.
- On a year-over-year basis, Depreciation & Amortization (CF) has declined in each of the last three quarters, with growth averaging 5.5% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation & Amortization (CF) in the past five years was Q2 2023, with growth of 448.9%; the weakest was Q1 2026, with a decline of 58.9%.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior quarters was $1,890 (Q1 2026), $4,300 (Q4 2025) and $4,259 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,933.26 Bn | 2,429.93 Bn | 107.37 Bn | 20.95 Bn |
| 2 | Home Depot | 348.06 Bn | 341.30 Bn | 16.12 Bn | 929.00 Mn |
| 3 | Tjx Companies | 147.97 Bn | 125.52 Bn | 5.07 Bn | 340.00 Mn |
| 4 | Lowes Companies | 127.73 Bn | 120.69 Bn | 8.58 Bn | 648.00 Mn |
| 5 | Carvana | 79.78 Bn | 70.66 Bn | 1.52 Bn | 64.00 Mn |
| 6 | O Reilly Automotive | 74.18 Bn | 73.27 Bn | 2.68 Bn | 139.55 Mn |
| 7 | Ross Stores | 74.06 Bn | 56.99 Bn | 2.12 Bn | 140.19 Mn |
| 8 | Target | 73.34 Bn | 67.93 Bn | 8.94 Bn | 784.00 Mn |
| 9 | Autozone | 52.71 Bn | 51.56 Bn | 3.52 Bn | 220.14 Mn |
| 10 | Wenyuan | 3.30 Mn | 3.30 Mn | - | 1,897.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,897.00 |
| Mar 31, 2026 | 1,890.00 |
| Dec 31, 2025 | 4,300.00 |
| Sep 30, 2025 | 4,259.00 |
| Jun 30, 2025 | 4,227.00 |
| Mar 31, 2025 | 4,596.00 |
| Dec 31, 2024 | 4,595.00 |
| Sep 30, 2024 | 3,512.00 |
| Jun 30, 2024 | 3,256.00 |
| Mar 31, 2024 | 3,165.00 |
| Dec 31, 2023 | 12,074.00 |
| Sep 30, 2023 | 3,118.00 |
| Jun 30, 2023 | 3,222.00 |
| Mar 31, 2023 | 3,305.00 |
| Dec 31, 2022 | 3,106.00 |
| Sep 30, 2022 | 598.00 |
| Jun 30, 2022 | 587.00 |
| Mar 31, 2022 | 143.00 |
Wenyuan Depreciation & Amortization (CF) 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-amortization-cf&ticker=WYGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "WYGC", "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-amortization-cf&ticker=WYGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();