Wingstop (WING) Operating Leases (2023 - 2026)
Wingstop's Operating Leases was $58.17 million in Q2 2026, down 0.5% from $58.48 million a year earlier but up 1.7% from the prior quarter.
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Analysis
Wingstop (WING) Operating Leases (2023 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Wingstop came in at $58.08 million, down 0.2% from FY2024.
- In earlier years, Operating Leases was $58.17 million in FY2024 (+226.7%) and $17.81 million in FY2023.
- Quarterly Operating Leases has moved between $17.81 million (Q4 2023) and $60.41 million (Q3 2024) over five years.
- Compared with a year earlier, Operating Leases has declined for four straight quarters, with growth averaging 38.3% over the last six quarters.
- Per Business Quant data, WING's Operating Leases in the three quarters before Q2 2026 was $57.18 million (Q1 2026), $58.08 million (Q4 2025) and $58.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Wingstop | 3.58 Bn | 2.89 Bn | 160.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 58.17 Mn |
| Mar 28, 2026 | 57.18 Mn |
| Dec 27, 2025 | 58.08 Mn |
| Sep 27, 2025 | 58.32 Mn |
| Jun 28, 2025 | 58.48 Mn |
| Mar 29, 2025 | 57.90 Mn |
| Dec 28, 2024 | 58.17 Mn |
| Sep 28, 2024 | 60.41 Mn |
| Jun 29, 2024 | 53.94 Mn |
| Dec 30, 2023 | 17.81 Mn |
API Access
Wingstop 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=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "WING", "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=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();