Wingstop (WING) Total Non-Current Liabilities (2014 - 2026)
Wingstop's Total Non-Current Liabilities came in at $1.46 billion for Q3 2026, up 2.5% from $1.42 billion a year earlier and up 2.0% from the prior quarter.
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Analysis
Wingstop (WING) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Wingstop's Total Non-Current Liabilities was $1.43 billion, up 2.7% from FY2024.
- Total Non-Current Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 21.2% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $1.39 billion in FY2024 (+66.7%), $835 million in FY2023 (+4.3%), $800.49 million in FY2022 (+47.0%) and $544.53 million in FY2021 (-0.4%).
- The Q3 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2014.
- Year-over-year, Total Non-Current Liabilities has increased for 14 consecutive quarters, with growth averaging 32.1% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2025 (growth of 70.3%), and the weakest in Q1 2023 (a decline of 10.9%).
- Business Quant data shows WING's Total Non-Current Liabilities at $1.43 billion (Q2 2026), $1.45 billion (Q1 2026) and $1.43 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 60.09 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | - |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 13.75 Bn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 6.89 Bn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 18.84 Bn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 9.21 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 18.84 Bn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 1.88 Bn |
| 10 | Wingstop | 4.53 Bn | 3.98 Bn | 157.92 Mn | 1.46 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 1.46 Bn |
| Jun 27, 2026 | 1.43 Bn |
| Mar 28, 2026 | 1.45 Bn |
| Dec 27, 2025 | 1.43 Bn |
| Sep 27, 2025 | 1.42 Bn |
| Jun 28, 2025 | 1.39 Bn |
| Mar 29, 2025 | 1.41 Bn |
| Dec 28, 2024 | 1.39 Bn |
| Sep 28, 2024 | 932.14 Mn |
| Jun 29, 2024 | 889.29 Mn |
| Mar 30, 2024 | 828.80 Mn |
| Dec 30, 2023 | 835.00 Mn |
| Sep 30, 2023 | 810.95 Mn |
| Jul 1, 2023 | 801.65 Mn |
| Apr 1, 2023 | 815.84 Mn |
| Dec 31, 2022 | 800.49 Mn |
| Sep 24, 2022 | 802.53 Mn |
| Jun 25, 2022 | 795.17 Mn |
| Mar 26, 2022 | 916.12 Mn |
| Dec 25, 2021 | 544.53 Mn |
API Access
Wingstop Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();