Hubspot (HUBS) Shares Outstanding (Diluted) (2013 - 2026)
Hubspot (HUBS) reported Weighted Average Shares Outstanding (Diluted) of 49.54 million for Q3 2026, down 6.0% from 52.67 million a year earlier and down 2.1% from the prior quarter.
Hubspot (HUBS) Shares Outstanding (Diluted) (2013 - 2026) Analysis & Trends
For FY2025, Hubspot posted Weighted Average Shares Outstanding (Diluted) of 53.19 million, up 2.7% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased for 13 consecutive years, with a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 51.82 million in FY2024 (+3.9%), 49.88 million in FY2023 (+3.8%), 48.07 million in FY2022 (+2.5%) and 46.89 million in FY2021 (+4.8%).
- The Q3 2026 figure ranks as the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q1 2023.
- Year over year, Weighted Average Shares Outstanding (Diluted) gained in six of the last eight quarters, with growth averaging 0.5%.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q4 2021 (growth of 4.8%); the low point was Q3 2026 (a decline of 6.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 50.62 million (Q2 2026), 52.58 million (Q1 2026) and 53.19 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | 2.57 Bn |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 3.00 Bn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 1.18 Bn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 821.00 Mn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | 397.60 Mn |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 1.04 Bn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | 1.84 Bn |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 428.05 Mn |
| 10 | Hubspot | 9.62 Bn | 7.26 Bn | 782.89 Mn | 49.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 49.54 Mn |
| Jun 30, 2026 | 50.62 Mn |
| Mar 31, 2026 | 52.58 Mn |
| Dec 31, 2025 | 53.19 Mn |
| Sep 30, 2025 | 52.67 Mn |
| Jun 30, 2025 | 52.70 Mn |
| Mar 31, 2025 | 52.15 Mn |
| Dec 31, 2024 | 51.82 Mn |
| Sep 30, 2024 | 51.78 Mn |
| Jun 30, 2024 | 51.01 Mn |
| Mar 31, 2024 | 51.50 Mn |
| Dec 31, 2023 | 49.88 Mn |
| Sep 30, 2023 | 50.05 Mn |
| Jun 30, 2023 | 49.70 Mn |
| Mar 31, 2023 | 49.40 Mn |
| Dec 31, 2022 | 48.07 Mn |
| Sep 30, 2022 | 48.07 Mn |
| Jun 30, 2022 | 47.82 Mn |
| Mar 31, 2022 | 47.58 Mn |
| Dec 31, 2021 | 46.89 Mn |
Hubspot 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=HUBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "HUBS", "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=HUBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();