Bark (BARK) Enterprise Value (2020 - 2026)
Bark's Enterprise Value came in at $82.97 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 28.1% from $64.79 million a year earlier and up 9.8% from the prior quarter.
Bark (BARK) Enterprise Value (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bark reported Enterprise Value of -$21.43 million; for FY2026 (ended Mar 31, 2026), it came in at $75.59 million, down 46.7% from FY2025.
- Enterprise Value carries a five-year compound annual growth rate of -31.4% (FY2021 to FY2026).
- Going back by fiscal year, Enterprise Value was $141.91 million in FY2025 (+54.0%), $92.17 million in FY2024 (+15.7%), $79.68 million in FY2023 (-82.3%) and $449.18 million in FY2022 (-9.5%).
- The fiscal Q1 2027 figure represents the highest quarterly Enterprise Value since fiscal Q4 2025.
- Year-over-year, Enterprise Value increased in three of the last seven quarters, with growth averaging 9.1%.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q2 2025 (growth of 208.3%), and the weakest in fiscal Q1 2023 (a decline of 94.6%).
- Business Quant data shows BARK's Enterprise Value at $75.59 million (Q4 2026), $82.52 million (Q3 2026) and $79.13 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn |
| 10 | Bark | 67.38 Mn | -53.11 Mn | 57.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.97 Mn |
| Mar 31, 2026 | 75.59 Mn |
| Dec 31, 2025 | 82.52 Mn |
| Sep 30, 2025 | 79.13 Mn |
| Jun 30, 2025 | 64.79 Mn |
| Mar 31, 2025 | 141.91 Mn |
| Dec 31, 2024 | 206.58 Mn |
| Sep 30, 2024 | 168.30 Mn |
| Jun 30, 2024 | 196.33 Mn |
| Mar 31, 2024 | 92.17 Mn |
| Dec 31, 2023 | 11.52 Mn |
| Sep 30, 2023 | 54.60 Mn |
| Jun 30, 2023 | 73.83 Mn |
| Mar 31, 2023 | 79.68 Mn |
| Dec 31, 2022 | 100.50 Mn |
| Sep 30, 2022 | 156.02 Mn |
| Jun 30, 2022 | 48.16 Mn |
| Mar 31, 2022 | 449.18 Mn |
| Dec 31, 2021 | 503.46 Mn |
| Sep 30, 2021 | 900.94 Mn |
Bark Enterprise Value 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=enterprise-value&ticker=BARK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();