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 | 389.52 Bn | 341.08 Bn | 11.60 Bn | 28.99% |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | 23.23% |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | 16.12% |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 21.85% |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | 16.93% |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | 29.22% |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | 27.56% |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | 14.78% |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | 17.27% |
| 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_KEY
import 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();