China Foods Holdings (CFOO) Amortizatization of Intangibles (2020 - 2026)
China Foods Holdings' Amortizatization of Intangibles came in at $123.00 for Q2 2026, up 6.0% from $116.00 a year earlier and up 0.8% from the prior quarter.
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Analysis
China Foods Holdings (CFOO) Amortizatization of Intangibles (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, China Foods Holdings reported Amortizatization of Intangibles of $482.00, down 17.2% year-over-year; for FY2025, it was $469.00, up 0.4% from FY2024.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- Going back by year, Amortizatization of Intangibles was $467.00 in FY2024 (+7.9%), $433.00 in FY2023 (-13.4%), $500.00 in FY2022 (-4.0%) and $521.00 in FY2021 (+7.0%).
- The Q2 2026 figure represents the highest quarterly Amortizatization of Intangibles since Q4 2024.
- Year-over-year, Amortizatization of Intangibles increased in four of the last eight quarters, with growth averaging 22.4%.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q4 2024 (growth of 216.2%), and the weakest in Q4 2025 (a decline of 49.1%).
- Business Quant data shows CFOO's Amortizatization of Intangibles at $122.00 (Q1 2026), $119.00 (Q4 2025) and $118.00 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | - |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | - |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 42.30 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | - |
| 10 | China Foods Holdings | 21.26 Mn | 21.15 Mn | 2.00 | 123.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.00 |
| Mar 31, 2026 | 122.00 |
| Dec 31, 2025 | 119.00 |
| Sep 30, 2025 | 118.00 |
| Jun 30, 2025 | 116.00 |
| Mar 31, 2025 | 116.00 |
| Dec 31, 2024 | 234.00 |
| Sep 30, 2024 | 116.00 |
| Jun 30, 2024 | 116.00 |
| Mar 31, 2024 | 117.00 |
| Dec 31, 2023 | 74.00 |
| Sep 30, 2023 | 116.00 |
| Jun 30, 2023 | 120.00 |
| Mar 31, 2023 | 123.00 |
| Dec 31, 2022 | 114.00 |
| Sep 30, 2022 | 127.00 |
| Jun 30, 2022 | 127.00 |
| Mar 31, 2022 | 132.00 |
| Dec 31, 2021 | 131.00 |
| Sep 30, 2021 | 130.00 |
API Access
China Foods Holdings Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=CFOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=CFOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();