Premium Catering (Holdings) (PC) Total Liabilities (2023 - 2025)
Premium Catering (Holdings)'s Total Liabilities was $1.55 million in fiscal Q2 2026 (quarter ended Dec 31, 2025), down 64.0% from $4.3 million a year earlier.
Premium Catering (Holdings) (PC) Total Liabilities (2023 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Total Liabilities at Premium Catering (Holdings) came in at $1.45 million, down 75.8% from FY2024.
- In earlier fiscal years, Total Liabilities was $5.97 million in FY2024 (+5.4%) and $5.67 million in FY2023.
- Quarterly Total Liabilities has moved between $1.45 million (fiscal Q4 2025) and $5.96 million (fiscal Q4 2024) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 35.97 Bn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 15.79 Bn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 6.98 Bn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 19.74 Bn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 11.16 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 19.74 Bn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 2.09 Bn |
| 10 | Premium Catering (Holdings) | 274.48 Mn | 270.03 Mn | - | 1.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.55 Mn |
| Jun 30, 2025 | 1.45 Mn |
| Dec 31, 2024 | 4.30 Mn |
| Jun 30, 2024 | 5.96 Mn |
| Jun 30, 2023 | 5.67 Mn |
Premium Catering (Holdings) Total 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-liabilities&ticker=PC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();