China Foods Holdings (CFOO) Selling, General & Administrative (2010 - 2026)
China Foods Holdings' Selling, General & Administrative came in at $63,752 for Q2 2026, down 43.5% from $112,885 a year earlier but up 3.5% from the prior quarter.
China Foods Holdings (CFOO) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, China Foods Holdings reported Selling, General & Administrative of $337,430, down 34.2% year-over-year; for FY2025, it came in at $423,644, down 15.7% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of -10.3% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $502,654 in FY2024 (+8.0%), $465,234 in FY2023 (-7.1%), $500,807 in FY2022 (-27.5%) and $690,780 in FY2021 (-5.2%).
- The five-year range for quarterly Selling, General & Administrative is $61,603 (Q1 2026) to $190,310 (Q4 2024).
- Year-over-year, Selling, General & Administrative has declined for four consecutive quarters, with an average decline of 5.4% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2024 (growth of 87.8%), and the weakest in Q4 2021 (a decline of 53.0%).
- Business Quant data shows CFOO's Selling, General & Administrative at $61,603 (Q1 2026), $123,983 (Q4 2025) and $88,092 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn | 1.54 Bn |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn | 2.48 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.70 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.32 Bn | 20.85 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn | 298.00 Mn |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn | 107.00 Mn |
| 10 | China Foods Holdings | 21.26 Mn | 21.15 Mn | 2.00 | 63,752.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63,752.00 |
| Mar 31, 2026 | 61,603.00 |
| Dec 31, 2025 | 123,983.00 |
| Sep 30, 2025 | 88,092.00 |
| Jun 30, 2025 | 112,885.00 |
| Mar 31, 2025 | 98,684.00 |
| Dec 31, 2024 | 190,310.00 |
| Sep 30, 2024 | 110,873.00 |
| Jun 30, 2024 | 111,027.00 |
| Mar 31, 2024 | 90,444.00 |
| Dec 31, 2023 | 101,327.00 |
| Sep 30, 2023 | 116,990.00 |
| Jun 30, 2023 | 138,325.00 |
| Mar 31, 2023 | 108,592.00 |
| Dec 31, 2022 | 168,779.00 |
| Sep 30, 2022 | 99,309.00 |
| Jun 30, 2022 | 107,762.00 |
| Mar 31, 2022 | 124,929.00 |
| Dec 31, 2021 | 143,727.00 |
| Sep 30, 2021 | 145,536.00 |
China Foods Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=CFOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CFOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();