Bark (BARK) Total Non-Current Liabilities (2020 - 2026)
Bark's Total Non-Current Liabilities was $92.27 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 44.3% from $165.76 million a year earlier and down 5.7% from the prior quarter.
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Analysis
Bark (BARK) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Non-Current Liabilities at Bark came in at $97.86 million, down 39.2% from FY2025.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -20.0% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $160.84 million in FY2025 (+1.8%), $158 million in FY2024 (-30.7%), $228.06 million in FY2023 (+6.7%) and $213.65 million in FY2022 (-28.3%).
- The fiscal Q1 2027 figure marks the lowest quarterly Total Non-Current Liabilities in data going back to fiscal Q3 2021.
- Compared with a year earlier, Total Non-Current Liabilities has declined for four straight quarters, with an average decline of 17.6% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q2 2023 (growth of 28.9%); the worst was fiscal Q3 2022 (a decline of 48.7%).
- Per Business Quant data, BARK's Total Non-Current Liabilities in the three fiscal quarters before Q1 2027 was $97.86 million (Q4 2026), $107.29 million (Q3 2026) and $161.33 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 34.56 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 21.57 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 8.50 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 8.16 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Bark | 81.88 Mn | -38.60 Mn | 57.33 Mn | 92.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.27 Mn |
| Mar 31, 2026 | 97.86 Mn |
| Dec 31, 2025 | 107.29 Mn |
| Sep 30, 2025 | 161.33 Mn |
| Jun 30, 2025 | 165.76 Mn |
| Mar 31, 2025 | 160.84 Mn |
| Dec 31, 2024 | 178.84 Mn |
| Sep 30, 2024 | 175.78 Mn |
| Jun 30, 2024 | 157.94 Mn |
| Mar 31, 2024 | 158.00 Mn |
| Dec 31, 2023 | 175.58 Mn |
| Sep 30, 2023 | 213.65 Mn |
| Jun 30, 2023 | 208.67 Mn |
| Mar 31, 2023 | 228.06 Mn |
| Dec 31, 2022 | 224.76 Mn |
| Sep 30, 2022 | 239.57 Mn |
| Jun 30, 2022 | 229.17 Mn |
| Mar 31, 2022 | 213.65 Mn |
| Dec 31, 2021 | 186.27 Mn |
| Sep 30, 2021 | 185.80 Mn |
API Access
Bark Total 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=total-non-current-liabilities&ticker=BARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();