Wingstop (WING) Tax Provisions (2014 - 2026)
Wingstop (WING) reported Tax Provisions of $10.92 million for Q3 2026, down 2.5% from $11.2 million a year earlier and down 18.5% from the prior quarter.
Wingstop (WING) Tax Provisions (2014 - 2026) Analysis & Trends
Over the twelve months ended Sep 26, 2026, Wingstop's Tax Provisions came in at $45.84 million, down 26.2% year-over-year; for FY2025, it was $62.92 million, up 63.5% from FY2024.
- Tax Provisions has increased for five consecutive years, with a five-year compound annual growth rate of 76.9% (FY2020 to FY2025).
- By year, Tax Provisions came in at $38.47 million in FY2024 (+59.4%), $24.14 million in FY2023 (+47.4%), $16.37 million in FY2022 (+0.7%) and $16.25 million in FY2021 (+346.8%).
- Five-year quarterly Tax Provisions spans a low of $2.9 million in Q1 2022 and a high of $30.93 million in Q1 2025.
- Year over year, Tax Provisions gained in six of the last eight quarters, with growth averaging 34.7%.
- The high point for year-over-year Tax Provisions in five years was Q1 2025 (growth of 215.6%); the low point was Q1 2026 (a decline of 65.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $13.4 million (Q2 2026), $10.7 million (Q1 2026) and $10.82 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 574.00 Mn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 374.40 Mn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | -320.00 Mn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 117.25 Mn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | -133.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 34.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | -133.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 92.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 19.48 Mn |
| 10 | Wingstop | 4.53 Bn | 3.98 Bn | 157.92 Mn | 10.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 10.92 Mn |
| Jun 27, 2026 | 13.40 Mn |
| Mar 28, 2026 | 10.70 Mn |
| Dec 27, 2025 | 10.82 Mn |
| Sep 27, 2025 | 11.20 Mn |
| Jun 28, 2025 | 10.00 Mn |
| Mar 29, 2025 | 30.93 Mn |
| Dec 28, 2024 | 9.96 Mn |
| Sep 28, 2024 | 9.80 Mn |
| Jun 29, 2024 | 9.01 Mn |
| Mar 30, 2024 | 9.80 Mn |
| Dec 30, 2023 | 6.14 Mn |
| Sep 30, 2023 | 6.64 Mn |
| Jul 1, 2023 | 6.10 Mn |
| Apr 1, 2023 | 5.24 Mn |
| Dec 31, 2022 | 5.77 Mn |
| Sep 24, 2022 | 4.70 Mn |
| Jun 25, 2022 | 3.10 Mn |
| Mar 26, 2022 | 2.90 Mn |
| Dec 25, 2021 | 3.65 Mn |
Wingstop Tax Provisions 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=tax-provisions&ticker=WING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();