Huckleberry.ai (DOMO) EBITDA (2017 - 2026)
Huckleberry.ai's EBITDA came in at $4.74 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with -$346,000 a year earlier.
Huckleberry.ai (DOMO) EBITDA (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Huckleberry.ai reported EBITDA of $1.66 million; for FY2026 (ended Jan 31, 2026), it was -$10.35 million.
- Going back by fiscal year, EBITDA was -$32.52 million in FY2025, -$30.49 million in FY2024, -$66.64 million in FY2023 and -$67.27 million in FY2022.
- The fiscal Q2 2027 figure represents the highest quarterly EBITDA in data going back to fiscal Q2 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 920.22 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 10.13 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.44 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 3.89 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 741.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -1.38 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -8.32 Bn |
| 10 | Huckleberry.ai | 147.52 Mn | -7.51 Mn | 59.22 Mn | 4.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.74 Mn |
| Apr 30, 2026 | -3.34 Mn |
| Oct 31, 2025 | 606,000.00 |
| Jul 31, 2025 | -346,000.00 |
| Apr 30, 2025 | -7.56 Mn |
| Oct 31, 2024 | -4.33 Mn |
| Jul 31, 2024 | -7.58 Mn |
| Apr 30, 2024 | -14.79 Mn |
| Jan 31, 2024 | -7.09 Mn |
| Oct 31, 2023 | -5.19 Mn |
| Jul 31, 2023 | -4.59 Mn |
| Apr 30, 2023 | -13.62 Mn |
| Jan 31, 2023 | -10.77 Mn |
| Oct 31, 2022 | -13.04 Mn |
| Jul 31, 2022 | -20.13 Mn |
| Apr 30, 2022 | -22.72 Mn |
| Jan 31, 2022 | -24.33 Mn |
| Oct 31, 2021 | -19.45 Mn |
| Jul 31, 2021 | -13.47 Mn |
| Apr 30, 2021 | -10.02 Mn |
Huckleberry.ai EBITDA 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=ebitda&ticker=DOMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();