Bark (BARK) Return on Assets [ROA] (2021 - 2026)
Bark (BARK) recorded Return on Assets [ROA] of -18.45% in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 6.98 percentage points from -11.48% a year earlier but up 3.30 percentage points from the prior quarter.
Bark (BARK) Return on Assets [ROA] (2021 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Bark reported Return on Assets [ROA] of -18.12%, down 6.36 percentage points from FY2025.
- Annual Return on Assets [ROA] has a four-year change of +5.24 percentage points (FY2022 to FY2026).
- Across earlier fiscal years, Return on Assets [ROA] came in at -11.76% in FY2025 (-1.17 pp), -10.59% in FY2024 (+4.15 pp), -14.74% in FY2023 (+8.61 pp) and -23.35% in FY2022.
- Quarterly Return on Assets [ROA] has ranged from -21.75% in fiscal Q4 2026 to -8.70% in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Return on Assets [ROA] has declined for four consecutive quarters, with an average year-over-year change of -2.00 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 6.29 percentage points in fiscal Q3 2024, against a drop of 11.02 percentage points in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -21.75% (Q4 2026), -14.85% (Q3 2026) and -13.89% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 4.96% |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 10.71% |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -4.38% |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | -2.96% |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 1.42% |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 9.75% |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 2.57% |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 7.77% |
| 10 | Bark | 84.17 Mn | -36.31 Mn | 57.33 Mn | -18.45% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -18.45% |
| Mar 31, 2026 | -21.75% |
| Dec 31, 2025 | -14.85% |
| Sep 30, 2025 | -13.89% |
| Jun 30, 2025 | -11.48% |
| Mar 31, 2025 | -11.89% |
| Dec 31, 2024 | -10.68% |
| Sep 30, 2024 | -10.29% |
| Jun 30, 2024 | -12.07% |
| Mar 31, 2024 | -11.95% |
| Dec 31, 2023 | -13.43% |
| Sep 30, 2023 | -15.47% |
| Jun 30, 2023 | -14.92% |
| Mar 31, 2023 | -15.23% |
| Dec 31, 2022 | -19.72% |
| Sep 30, 2022 | -17.19% |
| Jun 30, 2022 | -13.48% |
| Mar 31, 2022 | -15.65% |
| Dec 31, 2021 | -8.70% |
| Sep 30, 2021 | -11.05% |
Bark Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=BARK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();