Bark (BARK) Other Non-Current Assets (2020 - 2026)
Bark's Other Non-Current Assets was $4.58 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 9.6% from $4.18 million a year earlier but down 2.5% from the prior quarter.
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Analysis
Bark (BARK) Other Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Other Non-Current Assets at Bark came in at $4.7 million, up 22.9% from FY2025.
- Other Non-Current Assets shows a five-year compound annual growth rate of 7.6% (FY2021 to FY2026).
- In earlier fiscal years, Other Non-Current Assets was $3.82 million in FY2025 (-42.0%), $6.59 million in FY2024 (-8.9%), $7.23 million in FY2023 (+64.3%) and $4.4 million in FY2022 (+35.0%).
- Quarterly Other Non-Current Assets has moved between $3.82 million (fiscal Q4 2025) and $9.41 million (fiscal Q1 2025) over five years.
- Compared with a year earlier, Other Non-Current Assets has increased for three straight quarters, with an average decline of 14.0% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Assets over five years was fiscal Q3 2024 (growth of 69.5%); the worst was fiscal Q1 2026 (a decline of 55.6%).
- Per Business Quant data, BARK's Other Non-Current Assets in the three fiscal quarters before Q1 2027 was $4.7 million (Q4 2026), $5.02 million (Q3 2026) and $4.88 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 1.22 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.19 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 1.10 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 4.53 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 1.18 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 11.20 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | - |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 430.14 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 39.90 Mn |
| 10 | Bark | 84.17 Mn | -36.31 Mn | 57.33 Mn | 4.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.58 Mn |
| Mar 31, 2026 | 4.70 Mn |
| Dec 31, 2025 | 5.02 Mn |
| Sep 30, 2025 | 4.88 Mn |
| Jun 30, 2025 | 4.18 Mn |
| Mar 31, 2025 | 3.82 Mn |
| Dec 31, 2024 | 4.01 Mn |
| Sep 30, 2024 | 8.22 Mn |
| Jun 30, 2024 | 9.41 Mn |
| Mar 31, 2024 | 6.59 Mn |
| Dec 31, 2023 | 7.22 Mn |
| Sep 30, 2023 | 7.27 Mn |
| Jun 30, 2023 | 7.42 Mn |
| Mar 31, 2023 | 7.23 Mn |
| Dec 31, 2022 | 4.26 Mn |
| Sep 30, 2022 | 4.42 Mn |
| Jun 30, 2022 | 4.41 Mn |
| Mar 31, 2022 | 4.40 Mn |
| Dec 31, 2021 | 4.40 Mn |
| Sep 30, 2021 | 4.40 Mn |
API Access
Bark Other 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=other-non-current-assets&ticker=BARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-assets&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();