Bark (BARK) Assets (2020 - 2026)
Bark (BARK) posted Assets of $168.59 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 35.1% from $259.95 million a year earlier and down 0.8% from the prior quarter.
Bark (BARK) Assets (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Bark's Assets came in at $169.99 million, down 34.8% from FY2025.
- Annual Assets has declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 2.4% (FY2021 to FY2026).
- In prior fiscal years, Bark's Assets was $260.64 million in FY2025 (-12.7%), $298.59 million in FY2024 (-25.4%), $400.42 million in FY2023 (-7.8%) and $434.06 million in FY2022 (+187.7%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Assets since fiscal Q4 2021.
- On a year-over-year basis, Assets has declined in each of the last 17 quarters, with an average decline of 21.6% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was fiscal Q4 2022, with growth of 187.7%; the weakest was fiscal Q3 2026, with a decline of 35.4%.
- According to Business Quant data, Assets for the three prior fiscal quarters was $169.99 million (Q4 2026), $188.67 million (Q3 2026) and $247.98 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 89.42 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 71.25 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 13.97 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 73.07 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 30.27 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 16.48 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 16.20 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 13.29 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.74 Bn |
| 10 | Bark | 81.88 Mn | -38.60 Mn | 57.33 Mn | 168.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.59 Mn |
| Mar 31, 2026 | 169.99 Mn |
| Dec 31, 2025 | 188.67 Mn |
| Sep 30, 2025 | 247.98 Mn |
| Jun 30, 2025 | 259.95 Mn |
| Mar 31, 2025 | 260.64 Mn |
| Dec 31, 2024 | 292.19 Mn |
| Sep 30, 2024 | 301.57 Mn |
| Jun 30, 2024 | 287.74 Mn |
| Mar 31, 2024 | 298.59 Mn |
| Dec 31, 2023 | 320.63 Mn |
| Sep 30, 2023 | 368.99 Mn |
| Jun 30, 2023 | 373.85 Mn |
| Mar 31, 2023 | 400.42 Mn |
| Dec 31, 2022 | 407.36 Mn |
| Sep 30, 2022 | 444.85 Mn |
| Jun 30, 2022 | 439.60 Mn |
| Mar 31, 2022 | 434.06 Mn |
| Dec 31, 2021 | 438.80 Mn |
| Sep 30, 2021 | 449.29 Mn |
Bark 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=assets&ticker=BARK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();