authID (AUID) Shares Outstanding (Diluted) (2015 - 2026)
authID (AUID) reported Weighted Average Shares Outstanding (Diluted) of 16.52 million for Q2 2026, up 24.9% from 13.22 million a year earlier and up 2.4% from the prior quarter.
authID (AUID) Shares Outstanding (Diluted) (2015 - 2026) Analysis & Trends
For FY2025, authID posted Weighted Average Shares Outstanding (Diluted) of 13.01 million, up 27.5% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased for four consecutive years, though with a five-year compound annual growth rate of -24.7% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 10.2 million in FY2024 (+65.8%), 6.15 million in FY2023 (+100.8%), 3.07 million in FY2022 (+15.0%) and 2.67 million in FY2021 (-95.0%).
- The Q2 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding (Diluted) since Q2 2021.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 16 quarters, with growth averaging 35.3% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q1 2024 (growth of 198.5%); the low point was Q4 2021 (a decline of 95.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 16.13 million (Q1 2026), 13.01 million (Q4 2025) and 13.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 349.26 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 742.60 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 375.01 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 160.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 178.81 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 82.54 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 82.00 Mn |
| 10 | authID | 3.03 Mn | -9.02 Mn | - | 16.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.52 Mn |
| Dec 31, 2025 | 13.01 Mn |
| Sep 30, 2025 | 13.44 Mn |
| Jun 30, 2025 | 13.22 Mn |
| Mar 31, 2025 | 10.92 Mn |
| Dec 31, 2024 | 10.20 Mn |
| Sep 30, 2024 | 10.92 Mn |
| Jun 30, 2024 | 9.50 Mn |
| Mar 31, 2024 | 9.45 Mn |
| Dec 31, 2023 | 6.15 Mn |
| Sep 30, 2023 | 7.87 Mn |
| Jun 30, 2023 | 5.07 Mn |
| Mar 31, 2023 | 3.17 Mn |
| Dec 31, 2022 | 3.07 Mn |
| Sep 30, 2022 | 3.10 Mn |
| Jun 30, 2022 | 3.08 Mn |
| Mar 31, 2022 | 2.95 Mn |
| Dec 31, 2021 | 2.67 Mn |
| Sep 30, 2021 | 2.76 Mn |
| Jun 30, 2021 | 53.73 Mn |
authID 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=AUID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "AUID", "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=AUID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();