Huckleberry.ai (DOMO) Shares Outstanding (Entity) (2017 - 2026)
Huckleberry.ai (DOMO) recorded Shares Outstanding (Entity) of 43.77 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 15.3% from 37.97 million a year earlier and up 4.5% from the prior quarter.
Huckleberry.ai (DOMO) Shares Outstanding (Entity) (2017 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Huckleberry.ai reported Shares Outstanding (Entity) of 39.19 million, up 8.3% from FY2025.
- Annual Shares Outstanding (Entity) has increased for six straight fiscal years, with a five-year compound annual growth rate of 7.5% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Entity) came in at 36.19 million in FY2025 (+7.5%), 33.66 million in FY2024 (+6.6%), 31.57 million in FY2023 (+6.2%) and 29.73 million in FY2022 (+9.0%).
- The fiscal Q2 2027 figure is the highest quarterly Shares Outstanding (Entity) in data going back to fiscal Q2 2018.
- On a year-over-year basis, Shares Outstanding (Entity) has increased for 26 consecutive quarters, with growth averaging 9.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Entity) ran from 5.8% in fiscal Q1 2026 to 15.3% in fiscal Q2 2027.
- Per Business Quant, the preceding three fiscal quarters came in at 41.89 million (Q1 2027), 39.19 million (Q4 2026) and 38.54 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.40 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 3.02 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | - |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 823.00 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 | 397.80 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 268.38 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 351.96 Mn |
| 10 | Huckleberry.ai | 145.33 Mn | -9.70 Mn | 59.22 Mn | 43.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 43.77 Mn |
| Apr 30, 2026 | 41.89 Mn |
| Jan 31, 2026 | 39.19 Mn |
| Oct 31, 2025 | 38.54 Mn |
| Jul 31, 2025 | 37.97 Mn |
| Apr 30, 2025 | 36.94 Mn |
| Jan 31, 2025 | 36.19 Mn |
| Oct 31, 2024 | 35.84 Mn |
| Jul 31, 2024 | 35.37 Mn |
| Apr 30, 2024 | 34.91 Mn |
| Jan 31, 2024 | 33.66 Mn |
| Oct 31, 2023 | 33.35 Mn |
| Jul 31, 2023 | 32.82 Mn |
| Apr 30, 2023 | 32.45 Mn |
| Jan 31, 2023 | 31.57 Mn |
| Oct 31, 2022 | 31.28 Mn |
| Jul 31, 2022 | 31.00 Mn |
| Apr 30, 2022 | 30.46 Mn |
| Jan 31, 2022 | 29.73 Mn |
| Oct 31, 2021 | 29.35 Mn |
Huckleberry.ai Shares Outstanding (Entity) 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-entity&ticker=DOMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();