TH International (THCH) Operating Leases (2021 - 2025)
TH International's Operating Leases came in at $25.49 million for the quarter ended Dec 31, 2025, up 2.8% from $24.8 million a year earlier.
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Analysis
TH International (THCH) Operating Leases (2021 - 2025) Analysis & Trends
As of Dec 31, 2025, TH International's Operating Leases was $25.16 million, up 1.5% from the prior year.
- Operating Leases carries a four-year compound annual growth rate of -31.9% (years ended Dec 2021 to Dec 2025).
- Going back by year, Operating Leases was $24.79 million in the year ended Dec 31, 2024 (-7.7%), $26.86 million in the year ended Dec 31, 2023 (-0.1%), $26.88 million in the year ended Dec 31, 2022 (-77.0%) and $116.68 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 represents the highest quarterly Operating Leases since the quarter ended Mar 31, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - |
| 10 | TH International | 32.52 Mn | 32.52 Mn | 34.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 34.35 Mn |
| Dec 31, 2024 | 52.08 Mn |
| Mar 31, 2024 | 28.38 Mn |
| Dec 31, 2023 | 91.97 Mn |
| Sep 30, 2023 | 105.46 Mn |
| Dec 31, 2022 | 117.80 Mn |
| Dec 31, 2021 | 118.11 Mn |
API Access
TH International 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=THCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "THCH", "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=THCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();