China Foods Holdings (CFOO) Return on Assets [ROA] (2009 - 2026)
China Foods Holdings' Return on Assets [ROA] was -151.96% in Q2 2026, down 32.19 percentage points from -119.77% a year earlier but up 16.86 percentage points from the prior quarter.
China Foods Holdings (CFOO) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2025, Return on Assets [ROA] at China Foods Holdings came in at -123.07%, down 9.20 percentage points from FY2024.
- Return on Assets [ROA] has now declined for six consecutive years, with a five-year change of -95.43 percentage points (FY2020 to FY2025).
- In earlier years, Return on Assets [ROA] was -113.87% in FY2024 (-36.56 pp), -77.31% in FY2023 (-45.86 pp), -31.45% in FY2022 (-2.11 pp) and -29.34% in FY2021 (-1.70 pp).
- Quarterly Return on Assets [ROA] has moved between -168.82% (Q1 2026) and -20.29% (Q3 2021) over five years.
- Compared with a year earlier, Return on Assets [ROA] has declined for four straight quarters, with an average year-over-year change of -20.28 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Assets [ROA] over five years was Q3 2021 (a gain of 18.27 percentage points); the worst was Q3 2023 (a drop of 82.61 percentage points).
- Per Business Quant data, CFOO's Return on Assets [ROA] in the three quarters before Q2 2026 was -168.82% (Q1 2026), -161.23% (Q4 2025) and -138.74% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 12.42% |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 12.97% |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 1.85% |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 6.33% |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 18.39% |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 8.40% |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 8.86% |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 3.45% |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 10.01% |
| 10 | China Foods Holdings | 21.26 Mn | 21.15 Mn | 2.00 | -167.94% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -167.94% |
| Mar 31, 2026 | -182.24% |
| Dec 31, 2025 | -172.55% |
| Sep 30, 2025 | -143.29% |
| Jun 30, 2025 | -121.49% |
| Mar 31, 2025 | -111.46% |
| Dec 31, 2024 | -130.43% |
| Sep 30, 2024 | -132.39% |
| Jun 30, 2024 | -125.15% |
| Mar 31, 2024 | -114.47% |
| Dec 31, 2023 | -106.93% |
| Sep 30, 2023 | -116.59% |
| Jun 30, 2023 | -97.26% |
| Mar 31, 2023 | -66.95% |
| Dec 31, 2022 | -42.92% |
| Sep 30, 2022 | -36.66% |
| Jun 30, 2022 | -30.41% |
| Mar 31, 2022 | -20.52% |
| Dec 31, 2021 | -26.63% |
| Sep 30, 2021 | -17.97% |
China Foods Holdings Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=CFOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=CFOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();