Wingstop (WING) Non-Current Assets (2014 - 2026)
Wingstop (WING) recorded Non-Current Assets of $449.67 million in Q2 2026, up 13.7% from $395.45 million a year earlier and up 4.1% from the prior quarter.
Wingstop (WING) Non-Current Assets (2014 - 2026) Analysis & Trends
At the end of FY2025, Wingstop reported Non-Current Assets of $425.92 million, up 32.8% from FY2024.
- Annual Non-Current Assets has increased for nine straight years, with a five-year compound annual growth rate of 25.1% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $320.63 million in FY2024 (+37.3%), $233.48 million in FY2023 (+18.2%), $197.52 million in FY2022 (+10.3%) and $179.05 million in FY2021 (+28.9%).
- The Q2 2026 figure is the highest quarterly Non-Current Assets in data going back to Q4 2014.
- On a year-over-year basis, Non-Current Assets has increased for 36 consecutive quarters, with growth averaging 32.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Non-Current Assets ran from 9.5% in Q3 2022 to 54.3% in Q1 2025.
- Per Business Quant, the preceding three quarters came in at $431.94 million (Q1 2026), $425.92 million (Q4 2025) and $400.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 55.58 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 20.76 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 6.14 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 7.92 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 22.68 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 12.27 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 22.68 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 8.52 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 3.31 Bn |
| 10 | Wingstop | 3.58 Bn | 2.89 Bn | 160.50 Mn | 449.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 449.67 Mn |
| Mar 28, 2026 | 431.94 Mn |
| Dec 27, 2025 | 425.92 Mn |
| Sep 27, 2025 | 400.83 Mn |
| Jun 28, 2025 | 395.45 Mn |
| Mar 29, 2025 | 372.55 Mn |
| Dec 28, 2024 | 320.63 Mn |
| Sep 28, 2024 | 318.53 Mn |
| Jun 29, 2024 | 289.03 Mn |
| Mar 30, 2024 | 241.38 Mn |
| Dec 30, 2023 | 233.48 Mn |
| Sep 30, 2023 | 218.83 Mn |
| Jul 1, 2023 | 213.03 Mn |
| Apr 1, 2023 | 201.90 Mn |
| Dec 31, 2022 | 197.52 Mn |
| Sep 24, 2022 | 187.95 Mn |
| Jun 25, 2022 | 185.88 Mn |
| Mar 26, 2022 | 183.06 Mn |
| Dec 25, 2021 | 179.05 Mn |
| Sep 25, 2021 | 171.60 Mn |
Wingstop Non-Current Assets 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=non-current-assets&ticker=WING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();