Huckleberry.ai (DOMO) Shares Outstanding (Diluted) (2020 - 2026)
Huckleberry.ai's Shares Outstanding (Diluted) came in at 46 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 13.2% from 40.64 million a year earlier and up 6.0% from the prior quarter.
Huckleberry.ai (DOMO) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Huckleberry.ai's Shares Outstanding (Diluted) was 40.98 million, up 6.4% from FY2025.
- Shares Outstanding (Diluted) has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 6.9% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding (Diluted) was 38.5 million in FY2025 (+6.8%), 36.05 million in FY2024 (+5.7%), 34.09 million in FY2023 (+6.5%) and 32.02 million in FY2022 (+9.3%).
- The fiscal Q2 2027 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q4 2020.
- Year-over-year, Shares Outstanding (Diluted) has increased for 23 consecutive quarters, with growth averaging 7.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 5.6% in fiscal Q3 2024 to 17.6% in fiscal Q3 2022.
- Business Quant data shows DOMO's Shares Outstanding (Diluted) at 43.42 million (Q1 2027), 40.98 million (Q4 2026) and 41.45 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 3.00 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 821.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 403.30 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.84 Bn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Huckleberry.ai | 145.33 Mn | -9.70 Mn | 59.22 Mn | 46.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 46.00 Mn |
| Apr 30, 2026 | 43.42 Mn |
| Jan 31, 2026 | 40.98 Mn |
| Oct 31, 2025 | 41.45 Mn |
| Jul 31, 2025 | 40.64 Mn |
| Apr 30, 2025 | 39.74 Mn |
| Jan 31, 2025 | 38.50 Mn |
| Oct 31, 2024 | 38.83 Mn |
| Jul 31, 2024 | 38.39 Mn |
| Apr 30, 2024 | 37.48 Mn |
| Jan 31, 2024 | 36.05 Mn |
| Oct 31, 2023 | 36.31 Mn |
| Jul 31, 2023 | 35.88 Mn |
| Apr 30, 2023 | 35.22 Mn |
| Jan 31, 2023 | 34.09 Mn |
| Oct 31, 2022 | 34.39 Mn |
| Jul 31, 2022 | 33.97 Mn |
| Apr 30, 2022 | 33.30 Mn |
| Jan 31, 2022 | 32.02 Mn |
| Oct 31, 2021 | 32.36 Mn |
Huckleberry.ai Shares Outstanding (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=shares-outstanding-diluted&ticker=DOMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();