Wingstop (WING) Total Current Liabilities (2014 - 2026)
Wingstop's Total Current Liabilities was $92.2 million in Q3 2026, up 16.7% from $78.98 million a year earlier and up 31.3% from the prior quarter.
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%).
- Quarterly Total Current Liabilities has moved between $39.68 million (Q4 2021) and $171.37 million (Q1 2022) over five years.
- Compared with a year earlier, Total Current Liabilities was higher in four of the last eight quarters, with growth averaging 0.6%.
- 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 Q3 2026 was $70.21 million (Q2 2026), $96.74 million (Q1 2026) and $81.97 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 4.02 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 9.92 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 4.29 Bn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 1.45 Bn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 2.42 Bn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 2.42 Bn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 2.44 Bn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 790.79 Mn |
| 10 | Wingstop | 4.53 Bn | 3.98 Bn | 157.92 Mn | 92.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 92.20 Mn |
| 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 |
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_KEY
import 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();