Huckleberry.ai (HUCK) Shares Outstanding (Diluted) (2020 - 2026)
Huckleberry.ai (HUCK) recorded Shares Outstanding (Diluted) of 46 million in 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 (HUCK) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Huckleberry.ai reported Shares Outstanding (Diluted) of 40.98 million, up 6.4% from FY2025.
- Annual Shares Outstanding (Diluted) has increased for six straight fiscal years, with a five-year compound annual growth rate of 6.9% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Diluted) 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 is the highest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q4 2020.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 23 consecutive quarters, with growth averaging 7.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 5.6% (fiscal Q3 2024) to 17.6% (fiscal Q3 2022).
- Per Business Quant, the preceding three fiscal quarters 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 (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 471.42 Bn | 440.37 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 373.75 Bn | 245.88 Bn | - | 3.00 Bn |
| 3 | Sap Se | 277.47 Bn | 205.25 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 203.26 Bn | 159.13 Bn | 8.70 Bn | 821.00 Mn |
| 5 | ServiceNow | 163.61 Bn | 142.07 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 122.45 Bn | 104.58 Bn | 2.51 Bn | 403.30 Mn |
| 7 | Intuit | 94.72 Bn | 74.07 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 74.34 Bn | 73.43 Bn | - | 1.84 Bn |
| 9 | Thomson Reuters | 55.22 Bn | 52.00 Bn | - | 449.53 Mn |
| 10 | Huckleberry.ai | 142.60 Mn | -12.43 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=HUCK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "HUCK", "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=HUCK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();