Huckleberry.ai (DOMO) Net Margin (2017 - 2026)
Huckleberry.ai's Net Margin was -12.52% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 16.24 percentage points from -28.77% a year earlier and up 5.32 percentage points from the prior quarter.
Huckleberry.ai (DOMO) Net Margin (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Huckleberry.ai's Net Margin was -13.37% through Jul 31, 2026, up 10.95 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at -18.61%, up 7.23 percentage points from FY2025.
- Net Margin shows a five-year change of +21.66 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Net Margin was -25.84% in FY2025 (-2.15 pp), -23.69% in FY2024 (+10.51 pp), -34.20% in FY2023 (+5.39 pp) and -39.58% in FY2022 (+0.68 pp).
- Quarterly Net Margin has moved between -47.51% (fiscal Q4 2022) and -10.01% (fiscal Q4 2026) over five years.
- Compared with a year earlier, Net Margin has increased for four straight quarters, with an average year-over-year change of +5.97 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was fiscal Q4 2023 (a gain of 22.63 percentage points); the worst was fiscal Q1 2023 (a drop of 14.02 percentage points).
- Per Business Quant data, DOMO's Net Margin in the three fiscal quarters before Q2 2027 was -17.85% (Q1 2027), -10.01% (Q4 2026) and -13.08% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 54.86% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 24.19% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 22.36% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 31.08% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 7.47% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 17.88% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 8.34% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -7,044.56% |
| 10 | Huckleberry.ai | 147.52 Mn | -7.51 Mn | 59.22 Mn | -12.52% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -12.52% |
| Apr 30, 2026 | -17.85% |
| Jan 31, 2026 | -10.01% |
| Oct 31, 2025 | -13.08% |
| Jul 31, 2025 | -28.77% |
| Apr 30, 2025 | -22.53% |
| Jan 31, 2025 | -22.44% |
| Oct 31, 2024 | -23.52% |
| Jul 31, 2024 | -24.86% |
| Apr 30, 2024 | -32.47% |
| Jan 31, 2024 | -23.30% |
| Oct 31, 2023 | -20.60% |
| Jul 31, 2023 | -20.17% |
| Apr 30, 2023 | -30.71% |
| Jan 31, 2023 | -24.88% |
| Oct 31, 2022 | -30.00% |
| Jul 31, 2022 | -38.58% |
| Apr 30, 2022 | -44.17% |
| Jan 31, 2022 | -47.51% |
| Oct 31, 2021 | -43.81% |
Huckleberry.ai Net 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=net-margin&ticker=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();