Huckleberry.ai (DOMO) EPS (Diluted) (2020 - 2026)
Huckleberry.ai (DOMO) reported EPS (Diluted) of -$0.21 for fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with -$0.56 a year earlier.
Huckleberry.ai (DOMO) EPS (Diluted) (2020 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Huckleberry.ai's EPS (Diluted) came in at -$0.92; for FY2026 (ended Jan 31, 2026), it came in at -$1.45.
- By fiscal year, EPS (Diluted) came in at -$2.13 in FY2025, -$2.10 in FY2024, -$3.10 in FY2023 and -$3.19 in FY2022.
- Five-year quarterly EPS (Diluted) spans a low of -$1.04 in fiscal Q4 2022 and a high of -$0.19 in fiscal Q4 2026.
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -$0.33 (Q1 2027), -$0.19 (Q4 2026) and -$0.25 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 0.41 |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 1.56 |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 2.19 |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 4.29 |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 0.29 |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 2.43 |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 1.31 |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -24.45 |
| 10 | Huckleberry.ai | 147.52 Mn | -7.51 Mn | 59.22 Mn | -0.21 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -0.21 |
| Apr 30, 2026 | -0.33 |
| Jan 31, 2026 | -0.19 |
| Oct 31, 2025 | -0.25 |
| Jul 31, 2025 | -0.56 |
| Apr 30, 2025 | -0.45 |
| Jan 31, 2025 | -0.46 |
| Oct 31, 2024 | -0.48 |
| Jul 31, 2024 | -0.51 |
| Apr 30, 2024 | -0.69 |
| Jan 31, 2024 | -0.52 |
| Oct 31, 2023 | -0.45 |
| Jul 31, 2023 | -0.45 |
| Apr 30, 2023 | -0.69 |
| Jan 31, 2023 | -0.58 |
| Oct 31, 2022 | -0.69 |
| Jul 31, 2022 | -0.86 |
| Apr 30, 2022 | -0.99 |
| Jan 31, 2022 | -1.04 |
| Oct 31, 2021 | -0.88 |
Huckleberry.ai EPS (Diluted) 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=eps-diluted&ticker=DOMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();