Bark (BARK) Total Liabilities (2020 - 2026)
Bark (BARK) reported Total Liabilities of $92.36 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 44.4% from $165.98 million a year earlier and down 5.7% from the prior quarter.
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Analysis
Bark (BARK) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Bark posted Total Liabilities of $97.97 million, down 39.2% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of -20.6% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $161.11 million in FY2025 (+1.2%), $159.21 million in FY2024 (-30.7%), $229.88 million in FY2023 (+5.9%) and $217 million in FY2022 (-30.0%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Total Liabilities in data going back to fiscal Q2 2021.
- Year over year, Total Liabilities has now declined in each of the last four quarters, with an average decline of 18.1% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q2 2022 (growth of 46.7%); the low point was fiscal Q3 2022 (a decline of 53.2%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $97.97 million (Q4 2026), $107.43 million (Q3 2026) and $161.51 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | 69.38 Bn |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | 22.81 Bn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 10.45 Bn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 9.06 Bn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Bark | 67.38 Mn | -53.11 Mn | 57.33 Mn | 92.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.36 Mn |
| Mar 31, 2026 | 97.97 Mn |
| Dec 31, 2025 | 107.43 Mn |
| Sep 30, 2025 | 161.51 Mn |
| Jun 30, 2025 | 165.98 Mn |
| Mar 31, 2025 | 161.11 Mn |
| Dec 31, 2024 | 179.15 Mn |
| Sep 30, 2024 | 178.02 Mn |
| Jun 30, 2024 | 159.68 Mn |
| Mar 31, 2024 | 159.21 Mn |
| Dec 31, 2023 | 176.28 Mn |
| Sep 30, 2023 | 218.04 Mn |
| Jun 30, 2023 | 211.92 Mn |
| Mar 31, 2023 | 229.88 Mn |
| Dec 31, 2022 | 225.28 Mn |
| Sep 30, 2022 | 244.75 Mn |
| Jun 30, 2022 | 233.44 Mn |
| Mar 31, 2022 | 217.00 Mn |
| Dec 31, 2021 | 192.10 Mn |
| Sep 30, 2021 | 195.41 Mn |
API Access
Bark Total 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=total-liabilities&ticker=BARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-liabilities&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();