Wingstop (WING) Total Current Liabilities (2014 - 2026)
Wingstop's Total Current Liabilities was $70.21 million in Q2 2026, down 1.9% from $71.59 million a year earlier and down 27.4% from the prior quarter.
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Analysis
Wingstop (WING) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Wingstop came in at $81.97 million, down 6.3% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $87.44 million in FY2024 (+23.2%), $71 million in FY2023 (+13.8%), $62.41 million in FY2022 (+57.3%) and $39.68 million in FY2021 (-21.4%).
- The Q2 2026 figure marks the lowest quarterly Total Current Liabilities since Q3 2023.
- Compared with a year earlier, Total Current Liabilities was higher in four of the last eight quarters, with growth averaging 8.0%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2022 (growth of 255.7%); the worst was Q1 2023 (a decline of 53.7%).
- Per Business Quant data, WING's Total Current Liabilities in the three quarters before Q2 2026 was $96.74 million (Q1 2026), $81.97 million (Q4 2025) and $78.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 4.02 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 9.92 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 4.29 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 1.32 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 2.31 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.31 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 2.44 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 790.79 Mn |
| 10 | Wingstop | 3.58 Bn | 2.89 Bn | 160.50 Mn | 70.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 70.21 Mn |
| Mar 28, 2026 | 96.74 Mn |
| Dec 27, 2025 | 81.97 Mn |
| Sep 27, 2025 | 78.98 Mn |
| Jun 28, 2025 | 71.59 Mn |
| Mar 29, 2025 | 91.01 Mn |
| Dec 28, 2024 | 87.44 Mn |
| Sep 28, 2024 | 118.89 Mn |
| Jun 29, 2024 | 84.54 Mn |
| Mar 30, 2024 | 78.83 Mn |
| Dec 30, 2023 | 71.00 Mn |
| Sep 30, 2023 | 67.33 Mn |
| Jul 1, 2023 | 58.79 Mn |
| Apr 1, 2023 | 79.31 Mn |
| Dec 31, 2022 | 62.41 Mn |
| Sep 24, 2022 | 60.66 Mn |
| Jun 25, 2022 | 52.67 Mn |
| Mar 26, 2022 | 171.37 Mn |
| Dec 25, 2021 | 39.68 Mn |
| Sep 25, 2021 | 59.31 Mn |
API Access
Wingstop Total 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-current-liabilities&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();