Premium Catering (Holdings) (PC) Total Non-Current Liabilities (2023 - 2025)
Premium Catering (Holdings) (PC) reported Total Non-Current Liabilities of $481,220 for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 70.7% from $1.64 million a year earlier.
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Analysis
Premium Catering (Holdings) (PC) Total Non-Current Liabilities (2023 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Premium Catering (Holdings) posted Total Non-Current Liabilities of $322,180, down 85.6% from FY2024.
- By fiscal year, Total Non-Current Liabilities came in at $2.23 million in FY2024 (-35.8%) and $3.48 million in FY2023.
- Five-year quarterly Total Non-Current Liabilities spans a low of $327,935 in fiscal Q4 2025 and a high of $3.54 million in fiscal Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 60.27 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | - |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 6.58 Bn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 13.75 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 8.71 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 1.88 Bn |
| 10 | Premium Catering (Holdings) | 274.48 Mn | 270.01 Mn | - | 481,220.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 481,220.00 |
| Jun 30, 2025 | 327,935.12 |
| Dec 31, 2024 | 1.64 Mn |
| Jun 30, 2024 | 2.23 Mn |
| Jun 30, 2023 | 3.54 Mn |
API Access
Premium Catering (Holdings) Total Non-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-non-current-liabilities&ticker=PC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();