Wingstop (WING) Other Accumulated Expenses (2014 - 2026)
Wingstop (WING) recorded Other Accumulated Expenses of $49.88 million in Q3 2026, up 17.2% from $42.55 million a year earlier and up 36.3% from the prior quarter.
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Analysis
Wingstop (WING) Other Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Wingstop reported Other Accumulated Expenses of $49.74 million, up 6.3% from FY2024.
- Annual Other Accumulated Expenses has increased for 11 straight years, with a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $46.78 million in FY2024 (+21.3%), $38.57 million in FY2023 (+11.1%), $34.73 million in FY2022 (+23.7%) and $28.07 million in FY2021 (+5.0%).
- Quarterly Other Accumulated Expenses has ranged from $24.51 million in Q1 2022 to $58.39 million in Q3 2024 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses rose in five of the last eight quarters, with growth averaging 5.7%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 59.2% in Q3 2024, against a decline of 27.1% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $36.6 million (Q2 2026), $53.06 million (Q1 2026) and $49.74 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - |
| 10 | Wingstop | 4.43 Bn | 3.87 Bn | 157.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 49.88 Mn |
| Jun 27, 2026 | 36.60 Mn |
| Mar 28, 2026 | 53.06 Mn |
| Dec 27, 2025 | 49.74 Mn |
| Sep 27, 2025 | 42.55 Mn |
| Jun 28, 2025 | 44.30 Mn |
| Mar 29, 2025 | 58.37 Mn |
| Dec 28, 2024 | 46.78 Mn |
| Sep 28, 2024 | 58.39 Mn |
| Jun 29, 2024 | 42.96 Mn |
| Mar 30, 2024 | 38.68 Mn |
| Dec 30, 2023 | 38.57 Mn |
| Sep 30, 2023 | 36.67 Mn |
| Jul 1, 2023 | 30.73 Mn |
| Apr 1, 2023 | 38.44 Mn |
| Dec 31, 2022 | 34.73 Mn |
| Sep 24, 2022 | 28.04 Mn |
| Jun 25, 2022 | 29.19 Mn |
| Mar 26, 2022 | 24.51 Mn |
| Dec 25, 2021 | 28.07 Mn |
API Access
Wingstop Other Accumulated Expenses 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=other-accumulated-expenses&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();