Huckleberry.ai (DOMO) Assets (2018 - 2026)
Huckleberry.ai's Assets came in at $174.97 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 10.6% from $195.72 million a year earlier and down 11.0% from the prior quarter.
Huckleberry.ai (DOMO) Assets (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Huckleberry.ai's Assets was $235.53 million, up 9.9% from FY2025.
- Assets carries a five-year compound annual growth rate of 1.7% (FY2021 to FY2026).
- Going back by fiscal year, Assets was $214.34 million in FY2025 (-5.0%), $225.66 million in FY2024 (-6.8%), $242.12 million in FY2023 (-1.0%) and $244.59 million in FY2022 (+13.0%).
- The fiscal Q2 2027 figure represents the lowest quarterly Assets since fiscal Q4 2018.
- Year-over-year, Assets increased in three of the last eight quarters, with an average decline of 1.6%.
- The fastest year-over-year change in Assets over five years came in fiscal Q1 2023 (growth of 20.5%), and the weakest in fiscal Q2 2027 (a decline of 10.6%).
- Business Quant data shows DOMO's Assets at $196.57 million (Q1 2027), $235.53 million (Q4 2026) and $201.61 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 11.68 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 303.26 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 87.89 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 109.62 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 31.67 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 63.19 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 36.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 20.17 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 52.56 Bn |
| 10 | Huckleberry.ai | 147.52 Mn | -7.51 Mn | 59.22 Mn | 174.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 174.97 Mn |
| Apr 30, 2026 | 196.57 Mn |
| Jan 31, 2026 | 235.53 Mn |
| Oct 31, 2025 | 201.61 Mn |
| Jul 31, 2025 | 195.72 Mn |
| Apr 30, 2025 | 189.68 Mn |
| Jan 31, 2025 | 214.34 Mn |
| Oct 31, 2024 | 190.21 Mn |
| Jul 31, 2024 | 197.76 Mn |
| Apr 30, 2024 | 204.40 Mn |
| Jan 31, 2024 | 225.66 Mn |
| Oct 31, 2023 | 208.22 Mn |
| Jul 31, 2023 | 212.10 Mn |
| Apr 30, 2023 | 219.19 Mn |
| Jan 31, 2023 | 242.12 Mn |
| Oct 31, 2022 | 217.33 Mn |
| Jul 31, 2022 | 224.01 Mn |
| Apr 30, 2022 | 231.87 Mn |
| Jan 31, 2022 | 244.59 Mn |
| Oct 31, 2021 | 211.13 Mn |
Huckleberry.ai Assets 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=assets&ticker=DOMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();