Bark (BARK) Interest Expenses (2020 - 2026)
Bark (BARK) posted Interest Expenses of $2,000 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 99.7% from $709,000 a year earlier and down 90.0% from the prior quarter.
Powered by 
Analysis
Bark (BARK) Interest Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Bark was $1.15 million, down 58.8% year-over-year; for FY2026 (ended Mar 31, 2026), it was $1.86 million, down 33.4% from FY2025.
- Annual Interest Expenses has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -29.8% (FY2021 to FY2026).
- In prior fiscal years, Bark's Interest Expenses was $2.79 million in FY2025 (-35.9%), $4.35 million in FY2024 (-19.8%), $5.43 million in FY2023 (-0.7%) and $5.46 million in FY2022 (-50.0%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Interest Expenses in data going back to fiscal Q1 2021.
- On a year-over-year basis, Interest Expenses has declined in each of the last three quarters, with an average decline of 38.2% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was fiscal Q3 2023, with growth of 4.7%; the weakest was fiscal Q1 2027, with a decline of 99.7%.
- According to Business Quant data, Interest Expenses for the three prior fiscal quarters was $20,000 (Q4 2026), $415,000 (Q3 2026) and $711,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | - |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | -31.00 Mn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | - |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 62.70 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | - |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 19.64 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | - |
| 10 | Bark | 81.88 Mn | -38.60 Mn | 57.33 Mn | 2,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,000.00 |
| Mar 31, 2026 | 20,000.00 |
| Dec 31, 2025 | 415,000.00 |
| Sep 30, 2025 | 711,000.00 |
| Jun 30, 2025 | 709,000.00 |
| Mar 31, 2025 | 714,000.00 |
| Dec 31, 2024 | 677,000.00 |
| Sep 30, 2024 | 687,000.00 |
| Jun 30, 2024 | 711,000.00 |
| Mar 31, 2024 | 703,000.00 |
| Dec 31, 2023 | 902,000.00 |
| Sep 30, 2023 | 1.37 Mn |
| Jun 30, 2023 | 1.38 Mn |
| Mar 31, 2023 | 1.36 Mn |
| Dec 31, 2022 | 1.34 Mn |
| Sep 30, 2022 | 1.34 Mn |
| Jun 30, 2022 | 1.39 Mn |
| Mar 31, 2022 | 1.32 Mn |
| Dec 31, 2021 | 1.28 Mn |
| Sep 30, 2021 | 1.30 Mn |
API Access
Bark Interest 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=interest-expenses&ticker=BARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();