Wingstop (WING) Property, Plant & Equipment (Net) (2014 - 2026)
Wingstop (WING) recorded Property, Plant & Equipment (Net) of $153.08 million in Q2 2026, up 38.1% from $110.84 million a year earlier and up 10.6% from the prior quarter.
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Analysis
Wingstop (WING) Property, Plant & Equipment (Net) (2014 - 2026) Analysis & Trends
At the end of FY2025, Wingstop reported Property, Plant & Equipment (Net) of $130.58 million, up 3.7% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for 11 straight years, with a five-year compound annual growth rate of 36.1% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $125.95 million in FY2024 (+38.0%), $91.29 million in FY2023 (+36.6%), $66.85 million in FY2022 (+22.7%) and $54.5 million in FY2021 (+95.0%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2014.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for three consecutive quarters, with growth averaging 19.9% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 95.0% in Q4 2021, against a decline of 1.9% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $138.43 million (Q1 2026), $130.58 million (Q4 2025) and $116.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 28.48 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 6.99 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 1.61 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 2.87 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 2.23 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 5.12 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.23 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 2.62 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.89 Bn |
| 10 | Wingstop | 3.58 Bn | 2.89 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();