Bark (BARK) Non-Current Assets (2020 - 2026)
Bark (BARK) recorded Non-Current Assets of $45.25 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 22.3% from $58.26 million a year earlier and down 6.2% from the prior quarter.
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Analysis
Bark (BARK) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Bark reported Non-Current Assets of $48.25 million, down 18.2% from FY2025.
- Annual Non-Current Assets has declined for three straight fiscal years, though with a five-year compound annual growth rate of 20.7% (FY2021 to FY2026).
- Across earlier fiscal years, Non-Current Assets came in at $59 million in FY2025 (-23.2%), $76.84 million in FY2024 (-12.7%), $88.07 million in FY2023 (+33.6%) and $65.92 million in FY2022 (+250.7%).
- The fiscal Q1 2027 figure is the lowest quarterly Non-Current Assets since fiscal Q3 2022.
- On a year-over-year basis, Non-Current Assets has declined for 12 consecutive quarters, with an average decline of 20.6% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 250.7% in fiscal Q4 2022, against a decline of 86.6% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $48.25 million (Q4 2026), $50.79 million (Q3 2026) and $54.04 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | 63.44 Bn |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 58.31 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 10.02 Bn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | 63.81 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | 25.39 Bn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 14.21 Bn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 13.75 Bn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 9.77 Bn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | 1.90 Bn |
| 10 | Bark | 67.38 Mn | -53.11 Mn | 57.33 Mn | 45.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.25 Mn |
| Mar 31, 2026 | 48.25 Mn |
| Dec 31, 2025 | 50.79 Mn |
| Sep 30, 2025 | 54.04 Mn |
| Jun 30, 2025 | 58.26 Mn |
| Mar 31, 2025 | 59.00 Mn |
| Dec 31, 2024 | 62.79 Mn |
| Sep 30, 2024 | 69.92 Mn |
| Jun 30, 2024 | 75.52 Mn |
| Mar 31, 2024 | 76.84 Mn |
| Dec 31, 2023 | 79.99 Mn |
| Sep 30, 2023 | 82.37 Mn |
| Jun 30, 2023 | 87.18 Mn |
| Mar 31, 2023 | 88.07 Mn |
| Dec 31, 2022 | 85.83 Mn |
| Sep 30, 2022 | 88.25 Mn |
| Jun 30, 2022 | 82.68 Mn |
| Mar 31, 2022 | 65.92 Mn |
| Dec 31, 2021 | 34.13 Mn |
| Sep 30, 2021 | 28.99 Mn |
API Access
Bark Non-Current Assets 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=non-current-assets&ticker=BARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();