Premium Catering (Holdings) (PC) Receivables (2023 - 2025)
Premium Catering (Holdings) (PC) posted Receivables of $107,817 for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 70.1% from $360,914 a year earlier.
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Analysis
Premium Catering (Holdings) (PC) Receivables (2023 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Premium Catering (Holdings)'s Receivables came in at $2.91 million, up 685.4% from FY2024.
- In prior fiscal years, Premium Catering (Holdings)'s Receivables was $370,970 in FY2024 (-44.6%) and $670,045 in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 1.30 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 100.31 Mn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 623.00 Mn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 129.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 74.14 Mn |
| 10 | Premium Catering (Holdings) | 274.48 Mn | 270.01 Mn | - | 107,817.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 107,817.00 |
| Jun 30, 2025 | 2.75 Mn |
| Dec 31, 2024 | 360,914.34 |
| Jun 30, 2024 | 369,603.48 |
| Jun 30, 2023 | 682,472.68 |
API Access
Premium Catering (Holdings) Receivables 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=receivables&ticker=PC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();