Red Violet (RDVT) Shares Outstanding (Diluted) (2020 - 2026)
Red Violet (RDVT) posted Weighted Average Shares Outstanding (Diluted) of 15.75 million for Q3 2026, up 7.8% from 14.62 million a year earlier and up 8.9% from the prior quarter.
Red Violet (RDVT) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Red Violet's Weighted Average Shares Outstanding (Diluted) came in at 14.4 million, up 1.9% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- In prior years, Red Violet's Weighted Average Shares Outstanding (Diluted) was 14.13 million in FY2024 (-0.1%), 14.13 million in FY2023 (+0.2%), 14.11 million in FY2022 (+5.3%) and 13.4 million in FY2021 (+13.0%).
- The Q3 2026 figure stands as the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q2 2020.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) increased in five of the last eight quarters, with growth averaging 2.0%.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding (Diluted) in the past five years was Q1 2022, with growth of 15.1%; the weakest was Q2 2024, with a decline of 0.9%.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 14.46 million (Q2 2026), 14.39 million (Q1 2026) and 14.4 million (Q4 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 | Red Violet | 1.07 Bn | 832.05 Mn | 23.73 Mn | 15.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.75 Mn |
| Jun 30, 2026 | 14.46 Mn |
| Mar 31, 2026 | 14.39 Mn |
| Dec 31, 2025 | 14.40 Mn |
| Sep 30, 2025 | 14.62 Mn |
| Jun 30, 2025 | 14.55 Mn |
| Mar 31, 2025 | 14.49 Mn |
| Dec 31, 2024 | 14.13 Mn |
| Sep 30, 2024 | 14.31 Mn |
| Jun 30, 2024 | 14.05 Mn |
| Mar 31, 2024 | 14.16 Mn |
| Dec 31, 2023 | 14.13 Mn |
| Sep 30, 2023 | 14.33 Mn |
| Jun 30, 2023 | 14.17 Mn |
| Mar 31, 2023 | 14.24 Mn |
| Dec 31, 2022 | 14.11 Mn |
| Sep 30, 2022 | 13.76 Mn |
| Jun 30, 2022 | 13.78 Mn |
| Mar 31, 2022 | 14.05 Mn |
| Dec 31, 2021 | 13.40 Mn |
Red Violet 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=RDVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "RDVT", "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=RDVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();