Bark (BARK) Operating Margin (2020 - 2026)
Bark (BARK) recorded Operating Margin of 0.08% in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 8.20 percentage points from -8.12% a year earlier and up 14.16 percentage points from the prior quarter.
Bark (BARK) Operating Margin (2020 - 2026) Analysis & Trends
On a TTM basis, Bark's Operating Margin came in at -8.57% as of Jun 30, 2026, down 1.58 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at -10.18%, down 2.92 percentage points from FY2025.
- Annual Operating Margin has a five-year change of -4.73 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Operating Margin came in at -7.26% in FY2025 (+2.03 pp), -9.29% in FY2024 (+2.64 pp), -11.92% in FY2023 (+6.64 pp) and -18.56% in FY2022 (-13.12 pp).
- The fiscal Q1 2027 figure is the highest quarterly Operating Margin since fiscal Q1 2021.
- On a year-over-year basis, Operating Margin rose in five of the last eight quarters, with an average year-over-year change of +0.19 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 16.89 percentage points in fiscal Q4 2023, against a drop of 23.56 percentage points in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -14.07% (Q4 2026), -9.13% (Q3 2026) and -9.96% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.56 Bn | 96.02 Bn | - | - |
| 2 | Mondelez International | 83.86 Bn | 76.87 Bn | 3.92 Bn | 17.64% |
| 3 | Hershey | 34.38 Bn | 31.11 Bn | 1.51 Bn | 24.96% |
| 4 | Kraft Heinz | 28.62 Bn | 16.27 Bn | 1.99 Bn | 14.31% |
| 5 | General Mills | 18.33 Bn | 15.98 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 14.08 Bn | 13.86 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 12.60 Bn | 11.66 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 12.11 Bn | 8.77 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 9.02 Bn | 6.31 Bn | 1.01 Bn | 2.76% |
| 10 | Bark | 86.52 Mn | 10.47 Mn | 51.56 Mn | -5.91% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -5.91% |
| Jun 30, 2026 | 0.08% |
| Mar 31, 2026 | -14.07% |
| Dec 31, 2025 | -9.13% |
| Sep 30, 2025 | -9.96% |
| Jun 30, 2025 | -8.12% |
| Mar 31, 2025 | -5.73% |
| Dec 31, 2024 | -9.68% |
| Sep 30, 2024 | -4.52% |
| Jun 30, 2024 | -9.11% |
| Mar 31, 2024 | -5.31% |
| Dec 31, 2023 | -11.17% |
| Sep 30, 2023 | -9.02% |
| Jun 30, 2023 | -11.61% |
| Mar 31, 2023 | -10.16% |
| Dec 31, 2022 | -16.19% |
| Sep 30, 2022 | -6.36% |
| Jun 30, 2022 | -15.35% |
| Mar 31, 2022 | -27.05% |
| Dec 31, 2021 | -19.21% |
Bark Operating 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=operating-margin&ticker=BARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();