China Foods Holdings (CFOO) Total Current Liabilities (2010 - 2026)
China Foods Holdings (CFOO) posted Total Current Liabilities of $1.63 million for Q2 2026, up 15.5% from $1.41 million a year earlier and up 5.4% from the prior quarter.
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Analysis
China Foods Holdings (CFOO) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, China Foods Holdings' Total Current Liabilities came in at $1.48 million, up 15.2% from FY2024.
- Annual Total Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- In prior years, China Foods Holdings' Total Current Liabilities was $1.29 million in FY2024 (+70.1%), $755,996 in FY2023 (+14.2%), $661,779 in FY2022 (-28.5%) and $925,540 in FY2021 (+32.7%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last 11 quarters, with growth averaging 44.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2025, with growth of 94.9%; the weakest was Q4 2022, with a decline of 28.5%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $1.54 million (Q1 2026), $1.48 million (Q4 2025) and $1.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 38.69 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 6.15 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 6.23 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 5.87 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 6.99 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 1.33 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 2.77 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 337.66 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 660.00 Mn |
| 10 | China Foods Holdings | 21.26 Mn | 21.15 Mn | 2.00 | 1.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.63 Mn |
| Mar 31, 2026 | 1.54 Mn |
| Dec 31, 2025 | 1.48 Mn |
| Sep 30, 2025 | 1.43 Mn |
| Jun 30, 2025 | 1.41 Mn |
| Mar 31, 2025 | 1.42 Mn |
| Dec 31, 2024 | 1.29 Mn |
| Sep 30, 2024 | 966,078.00 |
| Jun 30, 2024 | 828,131.00 |
| Mar 31, 2024 | 726,743.00 |
| Dec 31, 2023 | 755,996.00 |
| Sep 30, 2023 | 740,181.00 |
| Jun 30, 2023 | 688,143.00 |
| Mar 31, 2023 | 648,060.00 |
| Dec 31, 2022 | 661,779.00 |
| Sep 30, 2022 | 792,341.00 |
| Jun 30, 2022 | 826,807.00 |
| Mar 31, 2022 | 892,722.00 |
| Dec 31, 2021 | 925,540.00 |
| Sep 30, 2021 | 822,156.00 |
API Access
China Foods Holdings Total Current Liabilities 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=total-current-liabilities&ticker=CFOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=CFOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();