Huckleberry.ai (DOMO) Gross Margin (2017 - 2026)
Huckleberry.ai's Gross Margin was 77.13% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.31 percentage points from 74.82% a year earlier and up 3.40 percentage points from the prior quarter.
Huckleberry.ai (DOMO) Gross Margin (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Huckleberry.ai's Gross Margin was 75.44% through Jul 31, 2026, up 0.85 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 74.99%, up 0.54 percentage points from FY2025.
- Gross Margin shows a five-year change of +1.99 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Gross Margin was 74.45% in FY2025 (-1.89 pp), 76.34% in FY2024 (+0.02 pp), 76.32% in FY2023 (+2.35 pp) and 73.97% in FY2022 (+0.97 pp).
- The fiscal Q2 2027 figure marks the highest quarterly Gross Margin since fiscal Q4 2023.
- Compared with a year earlier, Gross Margin was higher in four of the last eight quarters, with an average year-over-year change of +0.08 percentage points.
- The best year-over-year quarter for Gross Margin over five years was fiscal Q4 2023 (a gain of 3.62 percentage points); the worst was fiscal Q1 2025 (a drop of 2.49 percentage points).
- Per Business Quant data, DOMO's Gross Margin in the three fiscal quarters before Q2 2027 was 73.73% (Q1 2027), 76.78% (Q4 2026) and 74.18% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 84.66% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 73.17% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 76.65% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 70.68% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 45.88% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 79.10% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 66.64% |
| 10 | Huckleberry.ai | 147.52 Mn | -7.51 Mn | 59.22 Mn | 77.13% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 77.13% |
| Apr 30, 2026 | 73.73% |
| Jan 31, 2026 | 76.78% |
| Oct 31, 2025 | 74.18% |
| Jul 31, 2025 | 74.82% |
| Apr 30, 2025 | 74.20% |
| Jan 31, 2025 | 74.36% |
| Oct 31, 2024 | 74.97% |
| Jul 31, 2024 | 74.33% |
| Apr 30, 2024 | 74.14% |
| Jan 31, 2024 | 76.26% |
| Oct 31, 2023 | 76.43% |
| Jul 31, 2023 | 76.04% |
| Apr 30, 2023 | 76.63% |
| Jan 31, 2023 | 77.16% |
| Oct 31, 2022 | 76.07% |
| Jul 31, 2022 | 75.75% |
| Apr 30, 2022 | 76.28% |
| Jan 31, 2022 | 73.53% |
| Oct 31, 2021 | 73.66% |
Huckleberry.ai Gross 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=gross-margin&ticker=DOMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();