Huckleberry.ai (DOMO) Enterprise Value (2018 - 2026)
Huckleberry.ai (DOMO) reported Enterprise Value of $136.42 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 76.4% from $577.8 million a year earlier but up 24.0% from the prior quarter.
Huckleberry.ai (DOMO) Enterprise Value (2018 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Huckleberry.ai's Enterprise Value came in at $6.5 million, down 98.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $187.08 million, down 28.4% from FY2025.
- Enterprise Value has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -35.2% (FY2021 to FY2026).
- By fiscal year, Enterprise Value came in at $261.27 million in FY2025 (-14.3%), $304.9 million in FY2024 (-28.0%), $423.2 million in FY2023 (-67.8%) and $1.31 billion in FY2022 (-19.9%).
- Five-year quarterly Enterprise Value spans a low of $110.02 million in fiscal Q1 2027 and a high of $2.51 billion in fiscal Q3 2022.
- Year over year, Enterprise Value has now declined in each of the last three quarters, with growth averaging 11.6% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was fiscal Q3 2022 (growth of 228.3%); the low point was fiscal Q3 2023 (a decline of 80.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $110.02 million (Q1 2027), $187.08 million (Q4 2026) and $480.06 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Huckleberry.ai | 147.52 Mn | -7.51 Mn | 59.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 136.42 Mn |
| Apr 30, 2026 | 110.02 Mn |
| Jan 31, 2026 | 187.08 Mn |
| Oct 31, 2025 | 480.06 Mn |
| Jul 31, 2025 | 577.80 Mn |
| Apr 30, 2025 | 227.29 Mn |
| Jan 31, 2025 | 261.27 Mn |
| Oct 31, 2024 | 244.02 Mn |
| Jul 31, 2024 | 239.97 Mn |
| Apr 30, 2024 | 201.72 Mn |
| Jan 31, 2024 | 304.90 Mn |
| Oct 31, 2023 | 214.78 Mn |
| Jul 31, 2023 | 522.63 Mn |
| Apr 30, 2023 | 449.27 Mn |
| Jan 31, 2023 | 423.20 Mn |
| Oct 31, 2022 | 481.66 Mn |
| Jul 31, 2022 | 788.36 Mn |
| Apr 30, 2022 | 1.18 Bn |
| Jan 31, 2022 | 1.31 Bn |
| Oct 31, 2021 | 2.51 Bn |
Huckleberry.ai Enterprise Value 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=enterprise-value&ticker=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();