Wingstop (WING) Change in Other Operating Liabilities (2014 - 2026)
Wingstop (WING) posted Change in Other Operating Liabilities of -$1.11 million for Q3 2026, compared with $4.66 million a year earlier.
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Analysis
Wingstop (WING) Change in Other Operating Liabilities (2014 - 2026) Analysis & Trends
For the trailing twelve months through Sep 26, 2026, Change in Other Operating Liabilities at Wingstop was $3.25 million, down 81.9% year-over-year; for FY2025, it was $10.26 million, down 50.7% from FY2024.
- Annual Change in Other Operating Liabilities shows a five-year compound annual growth rate of 56.0% (FY2020 to FY2025).
- In prior years, Wingstop's Change in Other Operating Liabilities was $20.81 million in FY2024 (+468.1%), $3.66 million in FY2023, -$739,000 in FY2022 and $3.57 million in FY2021 (+222.0%).
- The Q3 2026 figure stands as the lowest quarterly Change in Other Operating Liabilities since Q1 2022.
- On a year-over-year basis, Change in Other Operating Liabilities increased in two of the last seven quarters, with growth averaging 48.3%.
- The strongest year-over-year quarter for Change in Other Operating Liabilities in the past five years was Q3 2024, with growth of 917.6%; the weakest was Q4 2025, with a decline of 89.5%.
- According to Business Quant data, Change in Other Operating Liabilities for the three prior quarters was $472,000 (Q2 2026), $2.98 million (Q1 2026) and $907,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | - |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | -454.60 Mn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | -63.45 Mn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | - |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | -110.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | - |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | -85.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | -6.65 Mn |
| 10 | Wingstop | 4.53 Bn | 3.98 Bn | 157.92 Mn | -1.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | -1.11 Mn |
| Jun 27, 2026 | 472,000.00 |
| Mar 28, 2026 | 2.98 Mn |
| Dec 27, 2025 | 907,000.00 |
| Sep 27, 2025 | 4.66 Mn |
| Jun 28, 2025 | 1.29 Mn |
| Mar 29, 2025 | 3.41 Mn |
| Dec 28, 2024 | 8.60 Mn |
| Sep 28, 2024 | 7.52 Mn |
| Jun 29, 2024 | 2.75 Mn |
| Mar 30, 2024 | 1.94 Mn |
| Dec 30, 2023 | 1.39 Mn |
| Sep 30, 2023 | 739,000.00 |
| Jul 1, 2023 | 840,000.00 |
| Apr 1, 2023 | 694,000.00 |
| Dec 31, 2022 | 387,000.00 |
| Sep 24, 2022 | -133,000.00 |
| Jun 25, 2022 | 219,000.00 |
| Mar 26, 2022 | -1.21 Mn |
| Dec 25, 2021 | 2.54 Mn |
API Access
Wingstop Change in Other Operating 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=change-in-other-operating-liabilities&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-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=change-in-other-operating-liabilities&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();