Premium Catering (Holdings) (PC) Non-Current Assets (2023 - 2025)
Premium Catering (Holdings) (PC) reported Non-Current Assets of $1.05 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 57.5% from $2.47 million a year earlier.
Premium Catering (Holdings) (PC) Non-Current Assets (2023 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Premium Catering (Holdings) posted Non-Current Assets of $588,921, down 84.9% from FY2024.
- By fiscal year, Non-Current Assets came in at $3.89 million in FY2024 (+3.8%) and $3.75 million in FY2023.
- Five-year quarterly Non-Current Assets spans a low of $599,440 in fiscal Q4 2025 and a high of $3.88 million in fiscal Q4 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 55.58 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 20.76 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 7.92 Bn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 6.14 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 22.68 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 11.92 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 22.68 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 8.52 Bn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 3.31 Bn |
| 10 | Premium Catering (Holdings) | 274.48 Mn | 270.01 Mn | - | 1.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.05 Mn |
| Jun 30, 2025 | 599,440.25 |
| Dec 31, 2024 | 2.47 Mn |
| Jun 30, 2024 | 3.88 Mn |
| Jun 30, 2023 | 3.82 Mn |
Premium Catering (Holdings) Non-Current Assets 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=non-current-assets&ticker=PC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();