Veritone (VERI) Shares Outstanding (2016 - 2026)
Veritone (VERI) reported Weighted Average Shares Outstanding of 94.03 million for Q2 2026, up 89.5% from 49.63 million a year earlier and up 1.2% from the prior quarter.
Veritone (VERI) Shares Outstanding (2016 - 2026) Analysis & Trends
For FY2025, Veritone posted Weighted Average Shares Outstanding of 63.32 million, up 66.5% from FY2024.
- Weighted Average Shares Outstanding has increased for nine consecutive years, with a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 38.04 million in FY2024 (+3.0%), 36.91 million in FY2023 (+2.4%), 36.03 million in FY2022 (+8.2%) and 33.31 million in FY2021 (+20.7%).
- The Q2 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to Q1 2016.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 38 quarters, with growth averaging 43.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 2.1% in Q1 2024 to 92.2% in Q1 2026.
- Per Business Quant data, the three quarters before Q2 2026 came in at 92.9 million (Q1 2026), 63.32 million (Q4 2025) and 49.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 242.71 Bn | 227.79 Bn | 2.30 Bn | 749.00 Mn |
| 2 | CrowdStrike Holdings | 226.31 Bn | 206.71 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Snowflake | 101.65 Bn | 88.97 Bn | 1.04 Bn | 349.26 Mn |
| 4 | Fortinet | 89.39 Bn | 73.64 Bn | 1.64 Bn | 734.20 Mn |
| 5 | Datadog | 64.14 Bn | 44.69 Bn | 959.92 Mn | 358.62 Mn |
| 6 | Zscaler | 32.12 Bn | 18.27 Bn | 689.22 Mn | 160.22 Mn |
| 7 | Okta | 30.80 Bn | 20.90 Bn | 641.00 Mn | 174.30 Mn |
| 8 | MongoDB | 26.36 Bn | 16.83 Bn | 569.77 Mn | 80.50 Mn |
| 9 | Axon Enterprise | 25.15 Bn | 19.68 Bn | 546.45 Mn | 80.57 Mn |
| 10 | Veritone | 49.13 Mn | -42.04 Mn | 15.46 Mn | 94.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.03 Mn |
| Dec 31, 2025 | 63.32 Mn |
| Sep 30, 2025 | 49.63 Mn |
| Jun 30, 2025 | 49.63 Mn |
| Mar 31, 2025 | 48.34 Mn |
| Dec 31, 2024 | 38.04 Mn |
| Sep 30, 2024 | 38.09 Mn |
| Jun 30, 2024 | 37.81 Mn |
| Mar 31, 2024 | 37.35 Mn |
| Dec 31, 2023 | 36.91 Mn |
| Sep 30, 2023 | 36.99 Mn |
| Jun 30, 2023 | 36.85 Mn |
| Mar 31, 2023 | 36.59 Mn |
| Dec 31, 2022 | 36.03 Mn |
| Sep 30, 2022 | 36.20 Mn |
| Jun 30, 2022 | 36.08 Mn |
| Mar 31, 2022 | 35.48 Mn |
| Dec 31, 2021 | 33.31 Mn |
| Sep 30, 2021 | 33.34 Mn |
| Jun 30, 2021 | 32.76 Mn |
Veritone 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=VERI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "VERI", "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=VERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();