Premium Catering (Holdings) (PC) Property, Plant & Equipment (Net) (2023 - 2025)
Premium Catering (Holdings) (PC) posted Property, Plant & Equipment (Net) of $373,665 for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 243.8% from $108,687 a year earlier.
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Analysis
Premium Catering (Holdings) (PC) Property, Plant & Equipment (Net) (2023 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Premium Catering (Holdings)'s Property, Plant & Equipment (Net) came in at $77,409, down 43.3% from FY2024.
- In prior fiscal years, Premium Catering (Holdings)'s Property, Plant & Equipment (Net) was $136,465 in FY2024 (-38.3%) and $221,219 in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 28.48 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 6.99 Bn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 2.87 Bn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 1.61 Bn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 2.23 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 5.12 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.23 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 2.62 Bn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 1.89 Bn |
| 10 | Premium Catering (Holdings) | 274.48 Mn | 270.01 Mn | - | 373,665.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 373,665.00 |
| Jun 30, 2025 | 78,791.33 |
| Dec 31, 2024 | 108,687.33 |
| Jun 30, 2024 | 135,962.43 |
| Jun 30, 2023 | 225,322.51 |
API Access
Premium Catering (Holdings) Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=PC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();