Premium Catering (Holdings) (PC) Operating Leases (2023 - 2025)
Premium Catering (Holdings)'s Operating Leases came in at $418,004 for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 73.7% from $1.59 million a year earlier.
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Analysis
Premium Catering (Holdings) (PC) Operating Leases (2023 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Premium Catering (Holdings)'s Operating Leases was $315,495, down 84.1% from FY2024.
- Going back by fiscal year, Operating Leases was $1.98 million in FY2024 (-27.6%) and $2.73 million in FY2023.
- The five-year range for quarterly Operating Leases is $321,130 (fiscal Q4 2025) to $2.78 million (fiscal Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - |
| 10 | Premium Catering (Holdings) | 274.48 Mn | 270.01 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 418,004.00 |
| Jun 30, 2025 | 321,129.99 |
| Dec 31, 2024 | 1.59 Mn |
| Jun 30, 2024 | 1.97 Mn |
| Jun 30, 2023 | 2.78 Mn |
API Access
Premium Catering (Holdings) Operating Leases 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=operating-leases&ticker=PC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=PC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();