Wendy's (WEN) Capital Expenditures (2009 - 2026)
Wendy's (WEN) recorded Capital Expenditures of $19.56 million in Q2 2026, down 8.5% from $21.37 million a year earlier but up 64.6% from the prior quarter.
Wendy's (WEN) Capital Expenditures (2009 - 2026) Analysis & Trends
On a TTM basis, Wendy's' Capital Expenditures came in at $94.32 million as of Jun 28, 2026, down 4.7% year-over-year; for FY2025, it came in at $101.93 million, up 8.0% from FY2024.
- Annual Capital Expenditures has a four-year compound annual growth rate of 10.3% (FY2021 to FY2025).
- Across earlier years, Capital Expenditures came in at $94.39 million in FY2024 (+11.0%), $85.02 million in FY2023 (-0.6%), $85.54 million in FY2022 and $68.97 million in FY2021.
- Quarterly Capital Expenditures has ranged from $11.88 million in Q1 2026 to $42.14 million in Q4 2022 over the past five years.
- On a year-over-year basis, Capital Expenditures has declined for three consecutive quarters, with growth averaging 3.6% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 43.3% in Q4 2024, against a decline of 32.8% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.88 million (Q1 2026), $37.88 million (Q4 2025) and $24.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 831.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 291.40 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 217.27 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 100.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 51.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 193.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 51.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 127.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 98.68 Mn |
| 10 | Wendy's | 1.22 Bn | -15.92 Mn | 363.30 Mn | 19.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 19.56 Mn |
| Mar 29, 2026 | 11.88 Mn |
| Dec 28, 2025 | 37.88 Mn |
| Sep 28, 2025 | 24.99 Mn |
| Jun 29, 2025 | 21.37 Mn |
| Mar 30, 2025 | 17.68 Mn |
| Dec 29, 2024 | 42.03 Mn |
| Sep 29, 2024 | 17.90 Mn |
| Jun 30, 2024 | 17.11 Mn |
| Mar 31, 2024 | 17.35 Mn |
| Dec 31, 2023 | 29.33 Mn |
| Oct 1, 2023 | 25.53 Mn |
| Jul 2, 2023 | 17.92 Mn |
| Apr 2, 2023 | 12.24 Mn |
| Jan 1, 2023 | 42.14 Mn |
| Apr 3, 2022 | 12.50 Mn |
| Oct 3, 2021 | 19.33 Mn |
| Jul 4, 2021 | 13.71 Mn |
| Apr 4, 2021 | 10.36 Mn |
| Jan 3, 2021 | 24.09 Mn |
Wendy's Capital Expenditures 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=capital-expenditures&ticker=WEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();