Huckleberry.ai (DOMO) Research & Development (2017 - 2026)
Huckleberry.ai (DOMO) reported Research & Development of $17.76 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 6.3% from $18.95 million a year earlier and down 4.8% from the prior quarter.
Huckleberry.ai (DOMO) Research & Development (2017 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Huckleberry.ai's Research & Development came in at $74.68 million, down 9.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $77.19 million, down 12.2% from FY2025.
- Research & Development has a five-year compound annual growth rate of 3.0% (FY2021 to FY2026).
- By fiscal year, Research & Development came in at $87.9 million in FY2025 (+3.4%), $85.05 million in FY2024 (-10.6%), $95.09 million in FY2023 (+17.4%) and $81.03 million in FY2022 (+21.9%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Research & Development since fiscal Q1 2022.
- Year over year, Research & Development has now declined in each of the last six quarters, with an average decline of 6.2% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was fiscal Q1 2023 (growth of 43.3%); the low point was fiscal Q3 2024 (a decline of 19.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $18.65 million (Q1 2027), $19.22 million (Q4 2026) and $19.06 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 192.51 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 2.40 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -2.14 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 1.69 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 915.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 265.90 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 857.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 23.10 Mn |
| 10 | Huckleberry.ai | 147.52 Mn | -7.51 Mn | 59.22 Mn | 17.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 17.76 Mn |
| Apr 30, 2026 | 18.65 Mn |
| Jan 31, 2026 | 19.22 Mn |
| Oct 31, 2025 | 19.06 Mn |
| Jul 31, 2025 | 18.95 Mn |
| Apr 30, 2025 | 19.96 Mn |
| Jan 31, 2025 | 21.95 Mn |
| Oct 31, 2024 | 21.26 Mn |
| Jul 31, 2024 | 21.97 Mn |
| Apr 30, 2024 | 22.72 Mn |
| Jan 31, 2024 | 21.12 Mn |
| Oct 31, 2023 | 19.73 Mn |
| Jul 31, 2023 | 20.77 Mn |
| Apr 30, 2023 | 23.44 Mn |
| Jan 31, 2023 | 21.99 Mn |
| Oct 31, 2022 | 24.58 Mn |
| Jul 31, 2022 | 25.33 Mn |
| Apr 30, 2022 | 23.19 Mn |
| Jan 31, 2022 | 23.52 Mn |
| Oct 31, 2021 | 21.98 Mn |
Huckleberry.ai Research & Development 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=research-and-development&ticker=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();