Huckleberry.ai (DOMO) Return on Assets [ROA] (2018 - 2026)
Huckleberry.ai's Return on Assets [ROA] came in at -22.71% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 17.46 percentage points from -40.17% a year earlier and up 2.98 percentage points from the prior quarter.
Powered by 
Analysis
Huckleberry.ai (DOMO) Return on Assets [ROA] (2018 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Huckleberry.ai's Return on Assets [ROA] was -26.38%, up 10.86 percentage points from FY2025.
- Return on Assets [ROA] carries a five-year change of +12.69 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Assets [ROA] was -37.24% in FY2025 (-4.93 pp), -32.31% in FY2024 (+11.06 pp), -43.37% in FY2023 (+0.92 pp) and -44.30% in FY2022 (-5.22 pp).
- The fiscal Q2 2027 figure represents the highest quarterly Return on Assets [ROA] in data going back to fiscal Q3 2019.
- Year-over-year, Return on Assets [ROA] has increased for four consecutive quarters, with an average year-over-year change of +4.63 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q2 2027 (a gain of 17.46 percentage points), and the weakest in fiscal Q2 2023 (a drop of 13.14 percentage points).
- Business Quant data shows DOMO's Return on Assets [ROA] at -25.69% (Q1 2027), -27.15% (Q4 2026) and -34.75% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 27.71% |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 6.70% |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 10.87% |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 8.95% |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 5.96% |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | 6.91% |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 12.00% |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | -56.94% |
| 10 | Huckleberry.ai | 141.82 Mn | -13.20 Mn | 59.22 Mn | -22.71% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -22.71% |
| Apr 30, 2026 | -25.69% |
| Jan 31, 2026 | -27.15% |
| Oct 31, 2025 | -34.75% |
| Jul 31, 2025 | -40.17% |
| Apr 30, 2025 | -36.64% |
| Jan 31, 2025 | -40.52% |
| Oct 31, 2024 | -42.78% |
| Jul 31, 2024 | -40.12% |
| Apr 30, 2024 | -35.91% |
| Jan 31, 2024 | -34.85% |
| Oct 31, 2023 | -36.50% |
| Jul 31, 2023 | -38.95% |
| Apr 30, 2023 | -42.08% |
| Jan 31, 2023 | -45.95% |
| Oct 31, 2022 | -53.94% |
| Jul 31, 2022 | -54.32% |
| Apr 30, 2022 | -49.07% |
| Jan 31, 2022 | -44.81% |
| Oct 31, 2021 | -42.34% |
API Access
Huckleberry.ai 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=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "ticker": "DOMO", "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=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();