China Foods Holdings (CFOO) EBITDA Margin (2019 - 2026)
China Foods Holdings (CFOO) recorded EBITDA Margin of -3093850.00% in Q2 2026, down 3093782.85 percentage points from -67.15% a year earlier and down 3070243.68 percentage points from the prior quarter.
China Foods Holdings (CFOO) EBITDA Margin (2019 - 2026) Analysis & Trends
On a TTM basis, China Foods Holdings' EBITDA Margin came in at -169.84% as of Jun 30, 2026, down 36.31 percentage points year-over-year; for FY2025, it came in at -119.40%, up 74.91 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of -80.03 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at -194.31% in FY2024 (+34.00 pp), -228.31% in FY2023 (-135.94 pp), -92.37% in FY2022 (+8.69 pp) and -101.06% in FY2021 (-61.69 pp).
- The Q2 2026 figure is the lowest quarterly EBITDA Margin in data going back to Q4 2019.
- On a year-over-year basis, EBITDA Margin rose in four of the last eight quarters, with an average year-over-year change of -389055.11 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 224876.60 percentage points in Q1 2026, against a drop of 3093782.85 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -23606.32% (Q1 2026), -131.43% (Q4 2025) and -79.93% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 22.46% |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 21.84% |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 4.38% |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 21.34% |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 19.10% |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 25.03% |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 28.34% |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 26.81% |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 18.01% |
| 10 | China Foods Holdings | 21.26 Mn | 21.15 Mn | 2.00 | -3,093,850.00% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3,093,850.00% |
| Mar 31, 2026 | -23,606.32% |
| Dec 31, 2025 | -131.43% |
| Sep 30, 2025 | -79.93% |
| Jun 30, 2025 | -67.15% |
| Mar 31, 2025 | -248,482.93% |
| Dec 31, 2024 | -85.57% |
| Sep 30, 2024 | -492.86% |
| Jun 30, 2024 | -2,893.60% |
| Mar 31, 2024 | -324.01% |
| Dec 31, 2023 | -32.64% |
| Sep 30, 2023 | -1,976.54% |
| Jun 30, 2023 | -1,749.61% |
| Mar 31, 2023 | -768.03% |
| Dec 31, 2022 | -77.35% |
| Sep 30, 2022 | -1,886.71% |
| Jun 30, 2022 | -28.83% |
| Mar 31, 2022 | -80.27% |
| Sep 30, 2021 | -82.97% |
| Jun 30, 2021 | 20.85% |
China Foods Holdings EBITDA Margin 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=ebitda-margin&ticker=CFOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=CFOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();