Bark (BARK) Other Non-Current Liabilities (2020 - 2026)
Bark's Other Non-Current Liabilities came in at $87,000 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 61.2% from $224,000 a year earlier and down 19.4% from the prior quarter.
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Analysis
Bark (BARK) Other Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Bark's Other Non-Current Liabilities was $108,000, down 59.6% from FY2025.
- Other Non-Current Liabilities has declined in each of the last five fiscal years, with a five-year compound annual growth rate of -60.9% (FY2021 to FY2026).
- Going back by fiscal year, Other Non-Current Liabilities was $267,000 in FY2025 (-77.8%), $1.2 million in FY2024 (-34.0%), $1.82 million in FY2023 (-45.7%) and $3.35 million in FY2022 (-71.7%).
- The fiscal Q1 2027 figure represents the lowest quarterly Other Non-Current Liabilities in data going back to fiscal Q3 2021.
- Year-over-year, Other Non-Current Liabilities has declined for ten consecutive quarters, with an average decline of 67.1% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in fiscal Q3 2024 (growth of 32.6%), and the weakest in fiscal Q2 2026 (a decline of 91.8%).
- Business Quant data shows BARK's Other Non-Current Liabilities at $108,000 (Q4 2026), $140,000 (Q3 2026) and $183,000 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 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 |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn |
| 10 | Bark | 81.88 Mn | -38.60 Mn | 57.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87,000.00 |
| Mar 31, 2026 | 108,000.00 |
| Dec 31, 2025 | 140,000.00 |
| Sep 30, 2025 | 183,000.00 |
| Jun 30, 2025 | 224,000.00 |
| Mar 31, 2025 | 267,000.00 |
| Dec 31, 2024 | 314,000.00 |
| Sep 30, 2024 | 2.24 Mn |
| Jun 30, 2024 | 1.74 Mn |
| Mar 31, 2024 | 1.20 Mn |
| Dec 31, 2023 | 700,000.00 |
| Sep 30, 2023 | 4.39 Mn |
| Jun 30, 2023 | 3.24 Mn |
| Mar 31, 2023 | 1.82 Mn |
| Dec 31, 2022 | 528,000.00 |
| Sep 30, 2022 | 5.18 Mn |
| Jun 30, 2022 | 4.27 Mn |
| Mar 31, 2022 | 3.35 Mn |
| Dec 31, 2021 | 5.83 Mn |
| Sep 30, 2021 | 9.62 Mn |
API Access
Bark Other Non-Current Liabilities 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-non-current-liabilities&ticker=BARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-non-current-liabilities&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();