Bark (BARK) Accumulated Expenses (2020 - 2026)
Bark (BARK) reported Accumulated Expenses of $17.92 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 54.6% from $39.48 million a year earlier and down 14.0% from the prior quarter.
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Analysis
Bark (BARK) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Bark posted Accumulated Expenses of $20.83 million, down 38.8% from FY2025.
- Accumulated Expenses has a five-year compound annual growth rate of -14.1% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $34.05 million in FY2025 (+11.7%), $30.49 million in FY2024 (-4.6%), $31.98 million in FY2023 (-9.1%) and $35.17 million in FY2022 (-21.2%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Accumulated Expenses since fiscal Q3 2021.
- Year over year, Accumulated Expenses has now declined in each of the last four quarters, with an average decline of 11.3% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q3 2025 (growth of 30.8%); the low point was fiscal Q1 2023 (a decline of 66.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $20.83 million (Q4 2026), $24.37 million (Q3 2026) and $25.81 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Bark | 84.17 Mn | -36.31 Mn | 57.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.92 Mn |
| Mar 31, 2026 | 20.83 Mn |
| Dec 31, 2025 | 24.37 Mn |
| Sep 30, 2025 | 25.81 Mn |
| Jun 30, 2025 | 39.48 Mn |
| Mar 31, 2025 | 34.05 Mn |
| Dec 31, 2024 | 41.80 Mn |
| Sep 30, 2024 | 33.21 Mn |
| Jun 30, 2024 | 33.98 Mn |
| Mar 31, 2024 | 30.49 Mn |
| Dec 31, 2023 | 31.95 Mn |
| Sep 30, 2023 | 30.70 Mn |
| Jun 30, 2023 | 29.56 Mn |
| Mar 31, 2023 | 31.98 Mn |
| Dec 31, 2022 | 30.89 Mn |
| Sep 30, 2022 | 31.92 Mn |
| Jun 30, 2022 | 26.27 Mn |
| Mar 31, 2022 | 35.17 Mn |
| Dec 31, 2021 | 52.65 Mn |
| Sep 30, 2021 | 61.99 Mn |
API Access
Bark Accumulated Expenses 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=accumulated-expenses&ticker=BARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();