Starbucks (SBUX) Asset Writedowns and Impairment (2009 - 2026)
Starbucks (SBUX) reported Asset Writedowns and Impairment of $260.2 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 327.3% from $60.9 million a year earlier and up 819.4% from the prior quarter.
Starbucks (SBUX) Asset Writedowns and Impairment (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Starbucks' Asset Writedowns and Impairment came in at $1.09 billion, up 440.6% year-over-year; for FY2025 (ended Sep 28, 2025), it was $834.7 million, up 587.0% from FY2024.
- Asset Writedowns and Impairment has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- By fiscal year, Asset Writedowns and Impairment came in at $121.5 million in FY2024 (+19.8%), $101.4 million in FY2023 (+10.9%), $91.4 million in FY2022 (-59.6%) and $226.2 million in FY2021 (-50.2%).
- Five-year quarterly Asset Writedowns and Impairment spans a low of $1.8 million in fiscal Q4 2022 and a high of $691.7 million in fiscal Q4 2025.
- Year over year, Asset Writedowns and Impairment gained in six of the last seven quarters, with growth averaging 151.4%.
- The high point for year-over-year Asset Writedowns and Impairment in five years was fiscal Q3 2024 (growth of 482.9%); the low point was fiscal Q2 2024 (a decline of 73.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $28.3 million (Q2 2026), $109.7 million (Q1 2026) and $691.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 260.20 Mn |
| Mar 29, 2026 | 28.30 Mn |
| Dec 28, 2025 | 109.70 Mn |
| Sep 28, 2025 | 691.70 Mn |
| Jun 29, 2025 | 60.90 Mn |
| Mar 30, 2025 | 41.20 Mn |
| Dec 29, 2024 | 40.90 Mn |
| Sep 29, 2024 | 58.60 Mn |
| Jun 30, 2024 | 20.40 Mn |
| Mar 31, 2024 | 14.20 Mn |
| Dec 31, 2023 | 28.30 Mn |
| Oct 1, 2023 | 22.30 Mn |
| Jul 2, 2023 | 3.50 Mn |
| Apr 2, 2023 | 54.50 Mn |
| Jan 1, 2023 | 21.10 Mn |
| Oct 2, 2022 | 1.80 Mn |
| Jul 3, 2022 | 12.30 Mn |
| Apr 3, 2022 | 26.60 Mn |
| Jan 2, 2022 | 50.70 Mn |
| Sep 27, 2020 | 454.40 Mn |
Starbucks 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=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "SBUX", "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=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();