Wingstop (WING) Capital Expenditures (2014 - 2026)
Wingstop (WING) reported Capital Expenditures of $18.21 million for Q2 2026, up 26.8% from $14.36 million a year earlier and up 2.7% from the prior quarter.
Wingstop (WING) Capital Expenditures (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Wingstop's Capital Expenditures came in at $61 million, up 15.4% year-over-year; for FY2025, it was $47.44 million, down 8.6% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 51.0% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $51.93 million in FY2024 (+27.2%), $40.83 million in FY2023 (+70.6%), $23.94 million in FY2022 (-14.6%) and $28.02 million in FY2021 (+363.0%).
- Five-year quarterly Capital Expenditures spans a low of $2.22 million in Q3 2025 and a high of $22.84 million in Q4 2025.
- Year over year, Capital Expenditures has now increased in each of the last three quarters, with growth averaging 21.2% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was Q3 2021 (growth of 682.3%); the low point was Q3 2025 (a decline of 84.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $17.73 million (Q1 2026), $22.84 million (Q4 2025) and $2.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 905.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 291.40 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 100.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 217.27 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 51.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 180.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 51.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 127.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 98.68 Mn |
| 10 | Wingstop | 3.58 Bn | 2.89 Bn | 160.50 Mn | 18.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 18.21 Mn |
| Mar 28, 2026 | 17.73 Mn |
| Dec 27, 2025 | 22.84 Mn |
| Sep 27, 2025 | 2.22 Mn |
| Jun 28, 2025 | 14.36 Mn |
| Mar 29, 2025 | 8.02 Mn |
| Dec 28, 2024 | 16.35 Mn |
| Sep 28, 2024 | 14.12 Mn |
| Jun 29, 2024 | 10.30 Mn |
| Mar 30, 2024 | 11.16 Mn |
| Dec 30, 2023 | 12.54 Mn |
| Sep 30, 2023 | 11.29 Mn |
| Jul 1, 2023 | 12.68 Mn |
| Apr 1, 2023 | 4.32 Mn |
| Dec 31, 2022 | 4.98 Mn |
| Sep 24, 2022 | 6.27 Mn |
| Jun 25, 2022 | 6.40 Mn |
| Mar 26, 2022 | 6.29 Mn |
| Dec 25, 2021 | 11.48 Mn |
| Sep 25, 2021 | 8.29 Mn |
Wingstop Capital Expenditures 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=capital-expenditures&ticker=WING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();