Wendy's (WEN) Selling, General & Administrative (2009 - 2026)
Wendy's' Selling, General & Administrative came in at $66.16 million for Q2 2026, up 11.2% from $59.49 million a year earlier but down 9.2% from the prior quarter.
Wendy's (WEN) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Wendy's reported Selling, General & Administrative of $263.99 million, up 2.5% year-over-year; for FY2025, it was $252.68 million, down 1.0% from FY2024.
- Selling, General & Administrative carries a four-year compound annual growth rate of 5.1% (FY2021 to FY2025).
- Going back by year, Selling, General & Administrative was $255.21 million in FY2024 (+2.1%), $249.96 million in FY2023 (-2.0%), $254.98 million in FY2022 and $206.88 million in FY2021.
- The five-year range for quarterly Selling, General & Administrative is $57.91 million (Q3 2025) to $76.4 million (Q4 2022).
- Year-over-year, Selling, General & Administrative increased in five of the last eight quarters, with growth averaging 2.8%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q2 2026 (growth of 11.2%), and the weakest in Q4 2023 (a decline of 14.1%).
- Business Quant data shows WEN's Selling, General & Administrative at $72.84 million (Q1 2026), $67.08 million (Q4 2025) and $57.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 598.80 Mn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 190.47 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 324.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 181.00 Mn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 134.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 181.00 Mn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 139.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 72.41 Mn |
| 10 | Wendy's | 1.17 Bn | -65.48 Mn | 363.30 Mn | 66.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 66.16 Mn |
| Mar 29, 2026 | 72.84 Mn |
| Dec 28, 2025 | 67.08 Mn |
| Sep 28, 2025 | 57.91 Mn |
| Jun 29, 2025 | 59.49 Mn |
| Mar 30, 2025 | 68.20 Mn |
| Dec 29, 2024 | 67.16 Mn |
| Sep 29, 2024 | 62.79 Mn |
| Jun 30, 2024 | 61.50 Mn |
| Mar 31, 2024 | 63.76 Mn |
| Dec 31, 2023 | 65.66 Mn |
| Oct 1, 2023 | 59.29 Mn |
| Jul 2, 2023 | 62.74 Mn |
| Apr 2, 2023 | 62.28 Mn |
| Jan 1, 2023 | 76.40 Mn |
| Oct 2, 2022 | 62.52 Mn |
| Jul 3, 2022 | 61.64 Mn |
| Apr 3, 2022 | 62.35 Mn |
| Oct 3, 2021 | 62.84 Mn |
| Jul 4, 2021 | 63.11 Mn |
Wendy's Selling, General & Administrative 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=selling-general-and-administrative&ticker=WEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();