Huckleberry.ai (DOMO) Intangibles (2018 - 2026)
Huckleberry.ai (DOMO) reported Intangibles of $1.4 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 24.3% from $1.84 million a year earlier and down 8.8% from the prior quarter.
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Analysis
Huckleberry.ai (DOMO) Intangibles (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Huckleberry.ai posted Intangibles of $1.56 million, down 26.7% from FY2025.
- Intangibles has declined for seven consecutive fiscal years, with a five-year compound annual growth rate of -14.2% (FY2021 to FY2026).
- By fiscal year, Intangibles came in at $2.13 million in FY2025 (-22.4%), $2.74 million in FY2024 (-1.9%), $2.79 million in FY2023 (-2.8%) and $2.88 million in FY2022 (-14.3%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Intangibles in data going back to fiscal Q4 2018.
- Year over year, Intangibles has now declined in each of the last 28 quarters, with an average decline of 23.1% over the last eight quarters.
- Across the past five years, year-over-year decline in Intangibles ran from 1.9% in fiscal Q3 2024 to 26.7% in fiscal Q4 2026.
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $1.53 million (Q1 2027), $1.56 million (Q4 2026) and $1.7 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 3.07 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 6.14 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 3.78 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 1.65 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 4.64 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 4.18 Bn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 49.67 Bn |
| 10 | Huckleberry.ai | 145.33 Mn | -9.70 Mn | 59.22 Mn | 1.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.40 Mn |
| Apr 30, 2026 | 1.53 Mn |
| Jan 31, 2026 | 1.56 Mn |
| Oct 31, 2025 | 1.70 Mn |
| Jul 31, 2025 | 1.84 Mn |
| Apr 30, 2025 | 1.98 Mn |
| Jan 31, 2025 | 2.13 Mn |
| Oct 31, 2024 | 2.27 Mn |
| Jul 31, 2024 | 2.41 Mn |
| Apr 30, 2024 | 2.55 Mn |
| Jan 31, 2024 | 2.74 Mn |
| Oct 31, 2023 | 2.76 Mn |
| Jul 31, 2023 | 2.78 Mn |
| Apr 30, 2023 | 2.77 Mn |
| Jan 31, 2023 | 2.79 Mn |
| Oct 31, 2022 | 2.81 Mn |
| Jul 31, 2022 | 2.84 Mn |
| Apr 30, 2022 | 2.86 Mn |
| Jan 31, 2022 | 2.88 Mn |
| Oct 31, 2021 | 2.90 Mn |
API Access
Huckleberry.ai Intangibles 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=intangibles&ticker=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();