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 | 164.13 Bn | 158.95 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 202.43 Mn |
| 10 | Happy City Holdings | 72.15 Mn | -1,365.42 Bn | - | 4.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 4.12 Mn |
| Aug 31, 2025 | 3.37 Mn |
| Feb 28, 2025 | 1,365.48 Bn |
| 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();