Huckleberry.ai (DOMO) Operating Margin (2017 - 2026)
Huckleberry.ai (DOMO) recorded Operating Margin of -3.11% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 5.98 percentage points from -9.10% a year earlier and up 10.70 percentage points from the prior quarter.
Huckleberry.ai (DOMO) Operating Margin (2017 - 2026) Analysis & Trends
On a TTM basis, Huckleberry.ai's Operating Margin came in at -9.79% as of Jul 31, 2026, up 4.33 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at -12.26%, up 6.44 percentage points from FY2025.
- Annual Operating Margin has a five-year change of +22.51 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Operating Margin came in at -18.70% in FY2025 (-1.49 pp), -17.20% in FY2024 (+11.59 pp), -28.79% in FY2023 (+5.50 pp) and -34.30% in FY2022 (+0.48 pp).
- The fiscal Q2 2027 figure is the highest quarterly Operating Margin in data going back to fiscal Q2 2018.
- On a year-over-year basis, Operating Margin has increased for eight consecutive quarters, with an average year-over-year change of +4.63 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 22.57 percentage points in fiscal Q4 2023, against a drop of 13.56 percentage points in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -13.81% (Q1 2027), -13.27% (Q4 2026) and -8.73% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 34.78% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -6,808.11% |
| 10 | Huckleberry.ai | 147.52 Mn | -7.51 Mn | 59.22 Mn | -3.11% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -3.11% |
| Apr 30, 2026 | -13.81% |
| Jan 31, 2026 | -13.27% |
| Oct 31, 2025 | -8.73% |
| Jul 31, 2025 | -9.10% |
| Apr 30, 2025 | -17.91% |
| Jan 31, 2025 | -15.57% |
| Oct 31, 2024 | -13.90% |
| Jul 31, 2024 | -18.48% |
| Apr 30, 2024 | -26.78% |
| Jan 31, 2024 | -16.65% |
| Oct 31, 2023 | -14.08% |
| Jul 31, 2023 | -13.31% |
| Apr 30, 2023 | -24.80% |
| Jan 31, 2023 | -20.20% |
| Oct 31, 2022 | -23.43% |
| Jul 31, 2022 | -33.95% |
| Apr 30, 2022 | -38.45% |
| Jan 31, 2022 | -42.78% |
| Oct 31, 2021 | -38.38% |
Huckleberry.ai 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=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();