China Foods Holdings (CFOO) Return on Sales [ROS] (2019 - 2026)
China Foods Holdings (CFOO) recorded Return on Sales [ROS] of -3187600.00% in Q2 2026, down 3187531.54 percentage points from -68.46% a year earlier and down 3163252.96 percentage points from the prior quarter.
China Foods Holdings (CFOO) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a TTM basis, China Foods Holdings' Return on Sales [ROS] came in at -173.87% as of Jun 30, 2026, down 38.68 percentage points year-over-year; for FY2025, it came in at -121.67%, up 73.60 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -75.20 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -195.27% in FY2024 (+60.06 pp), -255.33% in FY2023 (-144.42 pp), -110.91% in FY2022 (+15.48 pp) and -126.39% in FY2021 (-79.92 pp).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] in data going back to Q4 2019.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of -400844.41 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 228679.79 percentage points in Q1 2026, against a drop of 3187531.54 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -24347.04% (Q1 2026), -133.54% (Q4 2025) and -81.85% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 18.63% |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 18.95% |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | -1.08% |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 17.67% |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 15.11% |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 18.07% |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 24.33% |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 21.37% |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 14.62% |
| 10 | China Foods Holdings | 21.26 Mn | 21.15 Mn | 2.00 | -3,187,600.00% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3,187,600.00% |
| Mar 31, 2026 | -24,347.04% |
| Dec 31, 2025 | -133.54% |
| Sep 30, 2025 | -81.85% |
| Jun 30, 2025 | -68.46% |
| Mar 31, 2025 | -253,026.83% |
| Dec 31, 2024 | -86.56% |
| Sep 30, 2024 | -493.99% |
| Jun 30, 2024 | -2,900.37% |
| Mar 31, 2024 | -324.73% |
| Dec 31, 2023 | -36.46% |
| Sep 30, 2023 | -2,145.55% |
| Jun 30, 2023 | -1,958.38% |
| Mar 31, 2023 | -886.62% |
| Dec 31, 2022 | -85.00% |
| Sep 30, 2022 | -2,157.78% |
| Jun 30, 2022 | -46.44% |
| Mar 31, 2022 | -108.98% |
| Dec 31, 2021 | -126.39% |
| Sep 30, 2021 | -117.66% |
China Foods Holdings Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=CFOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=CFOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();