Huckleberry.ai (DOMO) Shares Outstanding (2017 - 2026)
Huckleberry.ai (DOMO) reported Shares Outstanding of 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 (2017 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Huckleberry.ai posted Shares Outstanding of 40.98 million, up 6.4% from FY2025.
- Shares Outstanding has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 6.9% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding came in at 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 ranks as the highest quarterly Shares Outstanding in data going back to fiscal Q2 2018.
- Year over year, Shares Outstanding has now increased in each of the last 29 quarters, with growth averaging 7.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding ran from 5.6% in fiscal Q3 2024 to 13.2% in fiscal Q2 2027.
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 43.42 million (Q1 2027), 40.98 million (Q4 2026) and 41.45 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.40 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 2.97 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 1.17 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 820.00 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 | 402.30 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.83 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 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&ticker=DOMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();