Bark (BARK) Gross Margin (2020 - 2026)
Bark (BARK) posted Gross Margin of 72.74% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 10.45 percentage points from 62.29% a year earlier and up 10.03 percentage points from the prior quarter.
Bark (BARK) Gross Margin (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Margin at Bark was 63.42%, up 1.23 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 61.26%, down 1.11 percentage points from FY2025.
- Annual Gross Margin shows a five-year change of +1.58 percentage points (FY2021 to FY2026).
- In prior fiscal years, Bark's Gross Margin was 62.37% in FY2025 (+0.73 pp), 61.64% in FY2024 (+4.08 pp), 57.56% in FY2023 (+1.96 pp) and 55.60% in FY2022 (-4.08 pp).
- The fiscal Q1 2027 figure stands as the highest quarterly Gross Margin in data going back to fiscal Q1 2021.
- On a year-over-year basis, Gross Margin increased in three of the last eight quarters, with an average year-over-year change of +0.86 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q1 2027, with a gain of 10.45 percentage points; the weakest was fiscal Q4 2022, with a drop of 10.88 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 62.71% (Q4 2026), 62.53% (Q3 2026) and 57.92% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 39.37% |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 46.13% |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 32.51% |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 33.88% |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 44.14% |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 39.26% |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 15.92% |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 30.36% |
| 10 | Bark | 83.98 Mn | 7.93 Mn | 51.56 Mn | 58.89% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 58.89% |
| Jun 30, 2026 | 72.74% |
| Mar 31, 2026 | 62.71% |
| Dec 31, 2025 | 62.53% |
| Sep 30, 2025 | 57.92% |
| Jun 30, 2025 | 62.29% |
| Mar 31, 2025 | 63.56% |
| Dec 31, 2024 | 62.68% |
| Sep 30, 2024 | 60.35% |
| Jun 30, 2024 | 63.05% |
| Mar 31, 2024 | 62.75% |
| Dec 31, 2023 | 61.76% |
| Sep 30, 2023 | 61.48% |
| Jun 30, 2023 | 60.57% |
| Mar 31, 2023 | 56.95% |
| Dec 31, 2022 | 59.69% |
| Sep 30, 2022 | 55.86% |
| Jun 30, 2022 | 57.81% |
| Mar 31, 2022 | 49.69% |
| Dec 31, 2021 | 55.68% |
Bark Gross Margin 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=gross-margin&ticker=BARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();