First Advantage (FA) Shares Outstanding (Entity) (2020 - 2026)
First Advantage's Shares Outstanding (Entity) came in at 171.57 million for Q2 2026, down 1.3% from 173.84 million a year earlier and down 0.7% from the prior quarter.
First Advantage (FA) Shares Outstanding (Entity) (2020 - 2026) Analysis & Trends
For FY2025, First Advantage's Shares Outstanding (Entity) was 174.19 million, up 0.6% from FY2024.
- Shares Outstanding (Entity) carries a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 173.17 million in FY2024 (+19.4%), 145.07 million in FY2023 (-2.5%), 148.73 million in FY2022 (-2.7%) and 152.9 million in FY2021 (+17.6%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding (Entity) since Q3 2024.
- Year-over-year, Shares Outstanding (Entity) increased in six of the last eight quarters, with growth averaging 9.6%.
- The fastest year-over-year change in Shares Outstanding (Entity) over five years came in Q2 2025 (growth of 19.6%), and the weakest in Q3 2023 (a decline of 5.2%).
- Business Quant data shows FA's Shares Outstanding (Entity) at 172.71 million (Q1 2026), 174.19 million (Q4 2025) and 174.04 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 257.84 Bn | 242.91 Bn | 2.30 Bn | 815.00 Mn |
| 2 | CrowdStrike Holdings | 233.39 Bn | 213.79 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Fortinet | 126.64 Bn | 112.57 Bn | 1.64 Bn | 733.60 Mn |
| 4 | Snowflake | 111.87 Bn | 99.19 Bn | 1.04 Bn | 352.46 Mn |
| 5 | Datadog | 92.04 Bn | 73.68 Bn | 881.34 Mn | 358.96 Mn |
| 6 | Zscaler | 34.10 Bn | 20.22 Bn | - | 163.06 Mn |
| 7 | Okta | 33.30 Bn | 23.39 Bn | 641.00 Mn | 167.14 Mn |
| 8 | Axon Enterprise | 32.17 Bn | 26.70 Bn | 546.45 Mn | 81.24 Mn |
| 9 | MongoDB | 29.07 Bn | 19.54 Bn | 569.77 Mn | 80.56 Mn |
| 10 | First Advantage | 3.35 Bn | 2.43 Bn | 203.99 Mn | 171.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 171.57 Mn |
| Mar 31, 2026 | 172.71 Mn |
| Dec 31, 2025 | 174.19 Mn |
| Sep 30, 2025 | 174.04 Mn |
| Jun 30, 2025 | 173.84 Mn |
| Mar 31, 2025 | 173.64 Mn |
| Dec 31, 2024 | 173.17 Mn |
| Sep 30, 2024 | 145.56 Mn |
| Jun 30, 2024 | 145.32 Mn |
| Mar 31, 2024 | 145.20 Mn |
| Dec 31, 2023 | 145.07 Mn |
| Sep 30, 2023 | 145.22 Mn |
| Jun 30, 2023 | 145.19 Mn |
| Mar 31, 2023 | 147.03 Mn |
| Dec 31, 2022 | 148.73 Mn |
| Sep 30, 2022 | 153.17 Mn |
| Jun 30, 2022 | 153.13 Mn |
| Mar 31, 2022 | 152.98 Mn |
| Dec 31, 2021 | 152.90 Mn |
| Sep 30, 2021 | 152.87 Mn |
First Advantage Shares Outstanding (Entity) 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-entity&ticker=FA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "FA", "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-entity&ticker=FA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();