Bark (BARK) Current Assets (2020 - 2026)
Bark (BARK) posted Current Assets of $123.33 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 38.8% from $201.69 million a year earlier but up 1.3% from the prior quarter.
Bark (BARK) Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Bark's Current Assets came in at $121.74 million, down 39.6% from FY2025.
- Annual Current Assets has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -1.6% (FY2021 to FY2026).
- In prior fiscal years, Bark's Current Assets was $201.64 million in FY2025 (-9.1%), $221.75 million in FY2024 (-29.0%), $312.35 million in FY2023 (-15.2%) and $368.14 million in FY2022 (+178.8%).
- Quarterly Current Assets has run from a low of $121.74 million in fiscal Q4 2026 to a high of $420.31 million in fiscal Q2 2022 over five years.
- On a year-over-year basis, Current 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 Current Assets in the past five years was fiscal Q4 2022, with growth of 178.8%; the weakest was fiscal Q3 2026, with a decline of 39.9%.
- According to Business Quant data, Current Assets for the three prior fiscal quarters was $121.74 million (Q4 2026), $137.88 million (Q3 2026) and $193.94 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | 24.43 Bn |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 12.94 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 3.96 Bn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | 9.25 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | 4.88 Bn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 1.99 Bn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 2.90 Bn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 3.53 Bn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | 1.85 Bn |
| 10 | Bark | 67.38 Mn | -53.11 Mn | 57.33 Mn | 123.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.33 Mn |
| Mar 31, 2026 | 121.74 Mn |
| Dec 31, 2025 | 137.88 Mn |
| Sep 30, 2025 | 193.94 Mn |
| Jun 30, 2025 | 201.69 Mn |
| Mar 31, 2025 | 201.64 Mn |
| Dec 31, 2024 | 229.41 Mn |
| Sep 30, 2024 | 231.65 Mn |
| Jun 30, 2024 | 212.22 Mn |
| Mar 31, 2024 | 221.75 Mn |
| Dec 31, 2023 | 240.64 Mn |
| Sep 30, 2023 | 286.62 Mn |
| Jun 30, 2023 | 286.67 Mn |
| Mar 31, 2023 | 312.35 Mn |
| Dec 31, 2022 | 321.54 Mn |
| Sep 30, 2022 | 356.60 Mn |
| Jun 30, 2022 | 356.91 Mn |
| Mar 31, 2022 | 368.14 Mn |
| Dec 31, 2021 | 404.67 Mn |
| Sep 30, 2021 | 420.31 Mn |
Bark 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=current-assets&ticker=BARK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();