Bark (BARK) Cost of Revenue (2020 - 2026)
Bark (BARK) recorded Cost of Revenue of $21.48 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 44.6% from $38.78 million a year earlier and down 33.4% from the prior quarter.
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Analysis
Bark (BARK) Cost of Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, Bark's Cost of Revenue came in at $135.66 million as of Jun 30, 2026, down 23.8% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $152.96 million, down 16.0% from FY2025.
- Annual Cost of Revenue has declined for three straight fiscal years, with a five-year compound annual growth rate of 0.0% (FY2021 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $182.19 million in FY2025 (-3.1%), $188.03 million in FY2024 (-17.2%), $227.2 million in FY2023 (+0.8%) and $225.3 million in FY2022 (+47.6%).
- The fiscal Q1 2027 figure is the lowest quarterly Cost of Revenue in data going back to fiscal Q1 2021.
- On a year-over-year basis, Cost of Revenue has declined for seven consecutive quarters, with an average decline of 14.0% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 46.5% in fiscal Q4 2022, against a decline of 44.6% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $32.28 million (Q4 2026), $36.89 million (Q3 2026) and $45.01 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 5.37 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 1.52 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 4.23 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 2.90 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 1.24 Bn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 1.23 Bn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.49 Bn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 2.32 Bn |
| 10 | Bark | 80.59 Mn | -39.89 Mn | 57.33 Mn | 21.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.48 Mn |
| Mar 31, 2026 | 32.28 Mn |
| Dec 31, 2025 | 36.89 Mn |
| Sep 30, 2025 | 45.01 Mn |
| Jun 30, 2025 | 38.78 Mn |
| Mar 31, 2025 | 42.06 Mn |
| Dec 31, 2024 | 47.19 Mn |
| Sep 30, 2024 | 50.00 Mn |
| Jun 30, 2024 | 42.95 Mn |
| Mar 31, 2024 | 45.25 Mn |
| Dec 31, 2023 | 47.83 Mn |
| Sep 30, 2023 | 47.39 Mn |
| Jun 30, 2023 | 47.56 Mn |
| Mar 31, 2023 | 54.25 Mn |
| Dec 31, 2022 | 54.14 Mn |
| Sep 30, 2022 | 63.47 Mn |
| Jun 30, 2022 | 55.34 Mn |
| Mar 31, 2022 | 64.81 Mn |
| Dec 31, 2021 | 62.40 Mn |
| Sep 30, 2021 | 50.28 Mn |
API Access
Bark Cost of 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=cost-of-revenue&ticker=BARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();