Happy City Holdings (HCHL) Cash & Equivalents (2024 - 2026)
Happy City Holdings (HCHL) posted Cash & Equivalents of $4.12 million for the quarter ended Feb 28, 2026, down 100.0% from $1.37 trillion a year earlier.
Happy City Holdings (HCHL) Cash & Equivalents (2024 - 2026) Analysis & Trends
As of Aug 31, 2025, Happy City Holdings' Cash & Equivalents came in at $3.37 million, up 14.8% from the prior year.
- In prior years, Happy City Holdings' Cash & Equivalents was $2.94 million in the year ended Aug 31, 2024 (+502.4%) and $487,409 in the year ended Aug 31, 2023.
- Quarterly Cash & Equivalents has run from a low of $2.94 million in the quarter ended Aug 31, 2024 to a high of $1.37 trillion in the quarter ended Feb 28, 2025 over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 1.19 Bn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | 3.68 Bn |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 634.21 Mn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 2.11 Bn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 974.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 974.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 535.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 141.41 Mn |
| 10 | Happy City Holdings | 72.15 Mn | 59.72 Mn | - | 4.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 4.12 Mn |
| Aug 31, 2025 | 3.37 Mn |
| Feb 28, 2025 | 1.37 Mn |
| Aug 31, 2024 | 2.94 Mn |
Happy City Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=HCHL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "HCHL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=HCHL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();