Wendy's (WEN) Asset Writedowns and Impairment (2009 - 2026)
Wendy's (WEN) reported Asset Writedowns and Impairment of $3.12 million for Q2 2026, up 85.1% from $1.69 million a year earlier and up 21.3% from the prior quarter.
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Analysis
Wendy's (WEN) Asset Writedowns and Impairment (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Wendy's' Asset Writedowns and Impairment came in at $14.68 million, up 45.0% year-over-year; for FY2025, it was $12.1 million, up 24.5% from FY2024.
- Asset Writedowns and Impairment has a four-year compound annual growth rate of 10.8% (FY2021 to FY2025).
- By year, Asset Writedowns and Impairment came in at $9.71 million in FY2024 (+593.3%), $1.4 million in FY2023 (-78.2%), $6.42 million in FY2022 and $8.04 million in FY2021.
- Five-year quarterly Asset Writedowns and Impairment spans a low of $59,000 in Q3 2023 and a high of $6.84 million in Q4 2024.
- Year over year, Asset Writedowns and Impairment gained in five of the last seven quarters, with growth averaging 164.6%.
- The high point for year-over-year Asset Writedowns and Impairment in five years was Q2 2024 (growth of 783.3%); the low point was Q4 2023 (a decline of 80.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.57 million (Q1 2026), $6.73 million (Q4 2025) and $2.26 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.12 Mn |
| Mar 29, 2026 | 2.57 Mn |
| Dec 28, 2025 | 6.73 Mn |
| Sep 28, 2025 | 2.26 Mn |
| Jun 29, 2025 | 1.69 Mn |
| Mar 30, 2025 | 1.42 Mn |
| Dec 29, 2024 | 6.84 Mn |
| Sep 29, 2024 | 178,000.00 |
| Jun 30, 2024 | 689,000.00 |
| Mar 31, 2024 | 2.01 Mn |
| Dec 31, 2023 | 888,000.00 |
| Oct 1, 2023 | 59,000.00 |
| Jul 2, 2023 | 78,000.00 |
| Apr 2, 2023 | 376,000.00 |
| Jan 1, 2023 | 4.59 Mn |
| Oct 2, 2022 | 206,000.00 |
| Jul 3, 2022 | 1.86 Mn |
| Apr 3, 2022 | 616,000.00 |
| Oct 3, 2021 | 566,000.00 |
| Jul 4, 2021 | 630,000.00 |
API Access
Wendy's Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=WEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();