Bark (BARK) Inventory (2021 - 2026)
Bark (BARK) reported Inventory of $72.45 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 26.2% from $98.12 million a year earlier and down 4.1% from the prior quarter.
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Analysis
Bark (BARK) Inventory (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Bark posted Inventory of $75.55 million, down 14.3% from FY2025.
- Inventory has a five-year compound annual growth rate of -0.5% (FY2021 to FY2026).
- By fiscal year, Inventory came in at $88.13 million in FY2025 (+4.7%), $84.18 million in FY2024 (-32.3%), $124.34 million in FY2023 (-18.8%) and $153.12 million in FY2022 (+97.7%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Inventory in data going back to fiscal Q4 2021.
- Year over year, Inventory gained in four of the last eight quarters, with an average decline of 3.2%.
- The high point for year-over-year Inventory in five years was fiscal Q4 2022 (growth of 97.7%); the low point was fiscal Q4 2024 (a decline of 32.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $75.55 million (Q4 2026), $91.36 million (Q3 2026) and $101.02 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 5.26 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 4.41 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 1.74 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 3.31 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 2.16 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | - |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 1.19 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 1.80 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 924.70 Mn |
| 10 | Bark | 81.88 Mn | -38.60 Mn | 57.33 Mn | 72.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.45 Mn |
| Mar 31, 2026 | 75.55 Mn |
| Dec 31, 2025 | 91.36 Mn |
| Sep 30, 2025 | 101.02 Mn |
| Jun 30, 2025 | 98.12 Mn |
| Mar 31, 2025 | 88.13 Mn |
| Dec 31, 2024 | 90.36 Mn |
| Sep 30, 2024 | 88.44 Mn |
| Jun 30, 2024 | 80.43 Mn |
| Mar 31, 2024 | 84.18 Mn |
| Dec 31, 2023 | 98.47 Mn |
| Sep 30, 2023 | 109.39 Mn |
| Jun 30, 2023 | 112.47 Mn |
| Mar 31, 2023 | 124.34 Mn |
| Dec 31, 2022 | 145.27 Mn |
| Sep 30, 2022 | 160.63 Mn |
| Jun 30, 2022 | 158.02 Mn |
| Mar 31, 2022 | 153.12 Mn |
| Dec 31, 2021 | 150.69 Mn |
| Sep 30, 2021 | 130.32 Mn |
API Access
Bark Inventory 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=inventory&ticker=BARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();