Wendy's (WEN) Amortization of Deferred Charges (2022 - 2026)
Wendy's (WEN) posted Amortization of Deferred Charges of $4.58 million for Q2 2026, up 12.8% from $4.06 million a year earlier but down 3.9% from the prior quarter.
Wendy's (WEN) Amortization of Deferred Charges (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Amortization of Deferred Charges at Wendy's was $19.76 million, up 24.6% year-over-year; for FY2025, it came in at $18.65 million, up 26.8% from FY2024.
- Annual Amortization of Deferred Charges has increased for three consecutive years, with a three-year compound annual growth rate of 98.2% (FY2022 to FY2025).
- In prior years, Wendy's' Amortization of Deferred Charges was $14.7 million in FY2024 (+15.0%), $12.78 million in FY2023 (+433.8%) and $2.39 million in FY2022.
- Quarterly Amortization of Deferred Charges has run from a low of $1.58 million in Q1 2023 to a high of $5.23 million in Q3 2025 over five years.
- On a year-over-year basis, Amortization of Deferred Charges has increased in each of the last six quarters, with growth averaging 13.4% over the last eight quarters.
- The strongest year-over-year quarter for Amortization of Deferred Charges in the past five years was Q1 2024, with growth of 123.9%; the weakest was Q4 2024, with a decline of 20.1%.
- According to Business Quant data, Amortization of Deferred Charges for the three prior quarters was $4.76 million (Q1 2026), $5.2 million (Q4 2025) and $5.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - |
| 10 | Wendy's | 1.17 Bn | -65.48 Mn | 363.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.58 Mn |
| Mar 29, 2026 | 4.76 Mn |
| Dec 28, 2025 | 5.20 Mn |
| Sep 28, 2025 | 5.23 Mn |
| Jun 29, 2025 | 4.06 Mn |
| Mar 30, 2025 | 4.17 Mn |
| Dec 29, 2024 | 4.06 Mn |
| Sep 29, 2024 | 3.58 Mn |
| Jun 30, 2024 | 3.52 Mn |
| Mar 31, 2024 | 3.54 Mn |
| Dec 31, 2023 | 5.09 Mn |
| Oct 1, 2023 | 3.84 Mn |
| Jul 2, 2023 | 2.27 Mn |
| Apr 2, 2023 | 1.58 Mn |
| Jan 1, 2023 | 2.39 Mn |
| Oct 2, 2022 | 888,000.00 |
Wendy's Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=WEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();