Premium Catering (Holdings) (PC) Cash & Equivalents (2023 - 2025)
Premium Catering (Holdings) (PC) posted Cash & Equivalents of $971,863 for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 51.1% from $1.99 million a year earlier.
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Analysis
Premium Catering (Holdings) (PC) Cash & Equivalents (2023 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Premium Catering (Holdings)'s Cash & Equivalents came in at $1.46 million.
- In prior fiscal years, Premium Catering (Holdings)'s Cash & Equivalents was $25,399 in FY2024 (-100.0%) and $117.53 billion in FY2023.
- The fiscal Q2 2026 figure stands as the lowest quarterly Cash & Equivalents since fiscal Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 219.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 202.43 Mn |
| 10 | Premium Catering (Holdings) | 274.48 Mn | 270.01 Mn | - | 971,863.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 971,863.00 |
| Jun 30, 2025 | 1.49 Mn |
| Dec 31, 2024 | 1.99 Mn |
| Jun 30, 2024 | 25,305.50 |
| Jun 30, 2023 | 87,796.32 |
API Access
Premium Catering (Holdings) Cash & Equivalents 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=cash-and-equivalents&ticker=PC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "PC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=PC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();