Wendy's (WEN) Tax Provisions (2009 - 2026)
Wendy's (WEN) posted Tax Provisions of $15.95 million for Q2 2026, down 23.3% from $20.79 million a year earlier but up 39.3% from the prior quarter.
Wendy's (WEN) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Tax Provisions at Wendy's was $53.1 million, down 32.7% year-over-year; for FY2025, it came in at $62.17 million, down 20.4% from FY2024.
- Annual Tax Provisions shows a four-year compound annual growth rate of 15.5% (FY2021 to FY2025).
- In prior years, Wendy's' Tax Provisions was $78.06 million in FY2024 (+4.1%), $74.98 million in FY2023 (+13.4%), $66.14 million in FY2022 and $34.96 million in FY2021.
- Quarterly Tax Provisions has run from a low of $6.71 million in Q4 2025 to a high of $24.78 million in Q4 2022 over five years.
- On a year-over-year basis, Tax Provisions has declined in each of the last four quarters, with an average decline of 13.5% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q4 2024, with growth of 12.9%; the weakest was Q4 2025, with a decline of 70.8%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $11.45 million (Q1 2026), $6.71 million (Q4 2025) and $18.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.73 Bn | 194.55 Bn | 6.42 Bn | 574.00 Mn |
| 2 | Starbucks | 124.84 Bn | 112.47 Bn | - | 374.40 Mn |
| 3 | Chipotle Mexican Grill | 45.68 Bn | 42.18 Bn | - | 117.25 Mn |
| 4 | Yum Brands | 44.27 Bn | 41.15 Bn | 1.47 Bn | -320.00 Mn |
| 5 | Restaurant Brands International | 27.05 Bn | 22.84 Bn | 1.40 Bn | -133.00 Mn |
| 6 | Darden Restaurants | 26.14 Bn | 25.23 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 | 17.37 Bn | 11.02 Bn | 537.00 Mn | 92.00 Mn |
| 9 | Texas Roadhouse | 12.53 Bn | 11.87 Bn | - | 19.48 Mn |
| 10 | Wendy's | 1.58 Bn | 264.39 Mn | 338.73 Mn | 10.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 10.34 Mn |
| Jun 28, 2026 | 15.95 Mn |
| Mar 29, 2026 | 11.45 Mn |
| Dec 28, 2025 | 6.71 Mn |
| Sep 28, 2025 | 18.98 Mn |
| Jun 29, 2025 | 20.79 Mn |
| Mar 30, 2025 | 15.69 Mn |
| Dec 29, 2024 | 22.99 Mn |
| Sep 29, 2024 | 19.43 Mn |
| Jun 30, 2024 | 20.18 Mn |
| Mar 31, 2024 | 15.46 Mn |
| Dec 31, 2023 | 20.35 Mn |
| Oct 1, 2023 | 19.92 Mn |
| Jul 2, 2023 | 19.25 Mn |
| Apr 2, 2023 | 15.46 Mn |
| Jan 1, 2023 | 24.78 Mn |
| Oct 2, 2022 | 18.59 Mn |
| Jul 3, 2022 | 17.24 Mn |
| Apr 3, 2022 | 13.43 Mn |
| Oct 3, 2021 | 13.20 Mn |
Wendy's 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=WEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "WEN", "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=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();