Bark (BARK) Other Operating Expenses (2020 - 2026)
Bark (BARK) reported Other Operating Expenses of $9.5 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 37.4% from $15.18 million a year earlier and down 24.4% from the prior quarter.
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Analysis
Bark (BARK) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bark's Other Operating Expenses came in at $52.47 million, down 30.7% year-over-year; for FY2026 (ended Mar 31, 2026), it was $58.15 million, down 27.5% from FY2025.
- Other Operating Expenses has a five-year compound annual growth rate of -2.8% (FY2021 to FY2026).
- By fiscal year, Other Operating Expenses came in at $80.16 million in FY2025 (+5.2%), $76.2 million in FY2024 (+14.2%), $66.74 million in FY2023 (-10.3%) and $74.42 million in FY2022 (+11.0%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Other Operating Expenses in data going back to fiscal Q1 2021.
- Year over year, Other Operating Expenses has now declined in each of the last six quarters, with an average decline of 16.0% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q2 2022 (growth of 31.8%); the low point was fiscal Q3 2026 (a decline of 42.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $12.57 million (Q4 2026), $15.77 million (Q3 2026) and $14.63 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 144.56 Bn | 96.02 Bn | - |
| 2 | Mondelez International | 83.86 Bn | 76.87 Bn | 3.92 Bn |
| 3 | Hershey | 34.38 Bn | 31.11 Bn | 1.51 Bn |
| 4 | Kraft Heinz | 28.62 Bn | 16.27 Bn | 1.99 Bn |
| 5 | General Mills | 18.33 Bn | 15.98 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.08 Bn | 13.86 Bn | 979.60 Mn |
| 7 | Mccormick | 12.60 Bn | 11.66 Bn | 794.90 Mn |
| 8 | Hormel Foods | 12.11 Bn | 8.77 Bn | 471.52 Mn |
| 9 | Chewy | 9.02 Bn | 6.31 Bn | 1.01 Bn |
| 10 | Bark | 86.52 Mn | 10.47 Mn | 51.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.39 Mn |
| Jun 30, 2026 | 9.50 Mn |
| Mar 31, 2026 | 12.57 Mn |
| Dec 31, 2025 | 16.07 Mn |
| Sep 30, 2025 | 15.40 Mn |
| Jun 30, 2025 | 15.18 Mn |
| Mar 31, 2025 | 17.30 Mn |
| Dec 31, 2024 | 27.36 Mn |
| Sep 30, 2024 | 18.67 Mn |
| Jun 30, 2024 | 20.43 Mn |
| Mar 31, 2024 | 18.76 Mn |
| Dec 31, 2023 | 25.09 Mn |
| Sep 30, 2023 | 17.81 Mn |
| Jun 30, 2023 | 17.62 Mn |
| Mar 31, 2023 | 15.37 Mn |
| Dec 31, 2022 | 21.75 Mn |
| Sep 30, 2022 | 15.33 Mn |
| Jun 30, 2022 | 16.36 Mn |
| Mar 31, 2022 | 13.36 Mn |
| Dec 31, 2021 | 26.83 Mn |
API Access
Bark Other Operating 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=other-operating-expenses&ticker=BARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();