China Foods Holdings (CFOO) Depreciation and Depletion (2019 - 2026)
China Foods Holdings (CFOO) reported Depreciation and Depletion of $1,752 for Q2 2026, up 0.6% from $1,742 a year earlier and unchanged from the prior quarter.
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Analysis
China Foods Holdings (CFOO) Depreciation and Depletion (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, China Foods Holdings' Depreciation and Depletion came in at $7,004, up 34.7% year-over-year; for FY2025, it was $6,989, up 295.3% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of -37.2% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $1,768 in FY2024 (-95.8%), $42,390 in FY2023 (-34.9%), $65,165 in FY2022 (-28.4%) and $90,961 in FY2021 (+27.3%).
- Five-year quarterly Depreciation and Depletion spans a low of $56.00 in Q1 2024 and a high of $24,236 in Q4 2021.
- Year over year, Depreciation and Depletion has now increased in each of the last three quarters, with an average decline of 31.0% over the last five quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q3 2021 (growth of 33.5%); the low point was Q1 2024 (a decline of 99.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1,752 (Q1 2026), $1,755 (Q4 2025) and $1,745 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn | - |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn | 79.00 Mn |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn | - |
| 5 | Kimberly Clark | 31.38 Bn | 28.70 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.32 Bn | 20.85 Bn | 693.90 Mn | 22.00 Mn |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn | 10.70 Mn |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn | - |
| 10 | China Foods Holdings | 21.26 Mn | 21.15 Mn | 2.00 | 1,752.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,752.00 |
| Mar 31, 2026 | 1,752.00 |
| Dec 31, 2025 | 1,755.00 |
| Sep 30, 2025 | 1,745.00 |
| Jun 30, 2025 | 1,742.00 |
| Mar 31, 2025 | 1,747.00 |
| Dec 31, 2024 | 1,574.00 |
| Sep 30, 2024 | 138.00 |
| Jun 30, 2024 | 138.00 |
| Mar 31, 2024 | 56.00 |
| Dec 31, 2023 | 5,049.00 |
| Sep 30, 2023 | 8,830.00 |
| Jun 30, 2023 | 14,160.00 |
| Mar 31, 2023 | 14,351.00 |
| Dec 31, 2022 | 14,031.00 |
| Sep 30, 2022 | 14,497.00 |
| Jun 30, 2022 | 16,573.00 |
| Mar 31, 2022 | 19,618.00 |
| Dec 31, 2021 | 24,236.00 |
| Sep 30, 2021 | 24,054.00 |
API Access
China Foods Holdings 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=CFOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "CFOO", "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=CFOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();