China Foods Holdings (CFOO) Operating Expenses (2010 - 2026)
China Foods Holdings' Operating Expenses was $63,754 in Q2 2026, down 43.5% from $112,915 a year earlier but up 3.1% from the prior quarter.
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Analysis
China Foods Holdings (CFOO) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, China Foods Holdings' Operating Expenses was $337,785 through Jun 30, 2026, down 35.0% year-over-year; for FY2025, it was $428,885, down 15.8% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -13.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $509,510 in FY2024 (+8.7%), $468,781 in FY2023 (-7.0%), $503,795 in FY2022 (-27.6%) and $695,856 in FY2021 (-21.6%).
- Quarterly Operating Expenses has moved between $61,827 (Q1 2026) and $191,056 (Q4 2024) over five years.
- Compared with a year earlier, Operating Expenses has declined for four straight quarters, with an average decline of 5.7% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2024 (growth of 88.5%); the worst was Q4 2021 (a decline of 70.0%).
- Per Business Quant data, CFOO's Operating Expenses in the three quarters before Q2 2026 was $61,827 (Q1 2026), $124,078 (Q4 2025) and $88,126 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 2.78 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 1.60 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 107.00 Mn |
| 10 | China Foods Holdings | 21.26 Mn | 21.15 Mn | 2.00 | 63,754.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63,754.00 |
| Mar 31, 2026 | 61,827.00 |
| Dec 31, 2025 | 124,078.00 |
| Sep 30, 2025 | 88,126.00 |
| Jun 30, 2025 | 112,915.00 |
| Mar 31, 2025 | 103,766.00 |
| Dec 31, 2024 | 191,056.00 |
| Sep 30, 2024 | 111,984.00 |
| Jun 30, 2024 | 111,078.00 |
| Mar 31, 2024 | 95,392.00 |
| Dec 31, 2023 | 101,368.00 |
| Sep 30, 2023 | 117,238.00 |
| Jun 30, 2023 | 139,255.00 |
| Mar 31, 2023 | 110,920.00 |
| Dec 31, 2022 | 169,145.00 |
| Sep 30, 2022 | 99,309.00 |
| Jun 30, 2022 | 110,404.00 |
| Mar 31, 2022 | 124,937.00 |
| Dec 31, 2021 | 134,443.00 |
| Sep 30, 2021 | 145,684.00 |
API Access
China Foods Holdings Operating Expenses 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=operating-expenses&ticker=CFOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CFOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();