Bark (BARK) Revenue (2020 - 2026)
Bark (BARK) recorded Revenue of $78.82 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 23.4% from $102.86 million a year earlier and down 9.0% from the prior quarter.
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Analysis
Bark (BARK) Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, Bark's Revenue came in at $370.8 million as of Jun 30, 2026, down 21.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $394.84 million, down 18.5% from FY2025.
- Annual Revenue has declined for three straight fiscal years, though with a five-year compound annual growth rate of 0.8% (FY2021 to FY2026).
- Across earlier fiscal years, Revenue came in at $484.18 million in FY2025 (-1.2%), $490.18 million in FY2024 (-8.4%), $535.32 million in FY2023 (+5.5%) and $507.41 million in FY2022 (+34.0%).
- The fiscal Q1 2027 figure is the lowest quarterly Revenue since fiscal Q1 2021.
- On a year-over-year basis, Revenue has declined for six consecutive quarters, with an average decline of 12.3% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 39.1% in fiscal Q2 2022, against a decline of 25.0% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $86.57 million (Q4 2026), $98.45 million (Q3 2026) and $106.97 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 15.16 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 9.36 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 2.79 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 6.26 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 4.39 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 1.94 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 2.22 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 2.96 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.33 Bn |
| 10 | Bark | 81.88 Mn | -38.60 Mn | 57.33 Mn | 78.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.82 Mn |
| Mar 31, 2026 | 86.57 Mn |
| Dec 31, 2025 | 98.45 Mn |
| Sep 30, 2025 | 106.97 Mn |
| Jun 30, 2025 | 102.86 Mn |
| Mar 31, 2025 | 115.41 Mn |
| Dec 31, 2024 | 126.45 Mn |
| Sep 30, 2024 | 126.11 Mn |
| Jun 30, 2024 | 116.21 Mn |
| Mar 31, 2024 | 121.48 Mn |
| Dec 31, 2023 | 125.08 Mn |
| Sep 30, 2023 | 123.04 Mn |
| Jun 30, 2023 | 120.59 Mn |
| Mar 31, 2023 | 126.02 Mn |
| Dec 31, 2022 | 134.33 Mn |
| Sep 30, 2022 | 143.81 Mn |
| Jun 30, 2022 | 131.15 Mn |
| Mar 31, 2022 | 128.83 Mn |
| Dec 31, 2021 | 140.81 Mn |
| Sep 30, 2021 | 120.16 Mn |
API Access
Bark Revenue 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=revenue&ticker=BARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();