Wingstop (WING) Property, Plant & Equipment (Net) (2014 - 2026)
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Analysis
Wingstop (WING) Property, Plant & Equipment (Net) (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 28.48 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 6.99 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 2.87 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 1.61 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 2.23 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 5.05 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 2.23 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 2.62 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 1.89 Bn |
| 10 | Wingstop | 2.67 Bn | 2.51 Bn | 160.50 Mn | 153.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 153.08 Mn |
| Mar 28, 2026 | 138.43 Mn |
| Dec 27, 2025 | 130.58 Mn |
| Sep 27, 2025 | 116.84 Mn |
| Jun 28, 2025 | 110.84 Mn |
| Mar 29, 2025 | 107.55 Mn |
| Dec 28, 2024 | 125.95 Mn |
| Sep 28, 2024 | 119.12 Mn |
| Jun 29, 2024 | 107.74 Mn |
| Mar 30, 2024 | 99.35 Mn |
| Dec 30, 2023 | 91.29 Mn |
| Sep 30, 2023 | 84.34 Mn |
| Jul 1, 2023 | 78.57 Mn |
| Apr 1, 2023 | 71.52 Mn |
| Dec 31, 2022 | 66.85 Mn |
| Sep 24, 2022 | 63.24 Mn |
| Jun 25, 2022 | 60.85 Mn |
| Mar 26, 2022 | 57.31 Mn |
| Dec 25, 2021 | 54.50 Mn |
| Sep 25, 2021 | 49.15 Mn |
API Access
Wingstop Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();