Bark (BARK) Asset Writedowns and Impairment (2022 - 2025)
Bark's Asset Writedowns and Impairment came in at $1.07 million for FY2026 (year ended Mar 31, 2026), down 70.4% from $3.6 million in FY2025.
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Analysis
Bark (BARK) Asset Writedowns and Impairment (2022 - 2025) Analysis & Trends
Going back to FY2023, Bark's Asset Writedowns and Impairment data covers 4 fiscal years.
- Asset Writedowns and Impairment carries a three-year compound annual growth rate of -19.8% (FY2023 to FY2026).
- Per Business Quant, earlier fiscal years put Asset Writedowns and Impairment at $3.6 million in FY2025 (+16.9%), $3.08 million in FY2024 (+49.1%) and $2.07 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | Bark | 80.59 Mn | -39.89 Mn | 57.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 296,000.00 |
| Sep 30, 2025 | 769,000.00 |
| Mar 31, 2025 | 1.46 Mn |
| Sep 30, 2024 | 1.34 Mn |
| Jun 30, 2024 | 799,000.00 |
| Dec 31, 2023 | 109,000.00 |
| Sep 30, 2023 | 2.97 Mn |
| Mar 31, 2023 | 404,000.00 |
| Dec 31, 2022 | 1.66 Mn |
| Sep 30, 2022 | -319,000.00 |
| Jun 30, 2022 | 319,000.00 |
API Access
Bark 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=BARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "BARK", "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=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();