First Advantage (FA) Research & Development (2020 - 2026)
First Advantage (FA) posted Research & Development of $27.27 million for Q2 2026, up 6.2% from $25.68 million a year earlier and up 10.8% from the prior quarter.
First Advantage (FA) Research & Development (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at First Advantage was $100.89 million, up 11.5% year-over-year; for FY2025, it came in at $101.85 million, up 59.6% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of 25.9% (FY2020 to FY2025).
- In prior years, First Advantage's Research & Development was $63.82 million in FY2024 (+29.5%), $49.26 million in FY2023 (-5.1%), $51.93 million in FY2022 (+14.1%) and $45.51 million in FY2021 (+41.3%).
- The Q2 2026 figure stands as the highest quarterly Research & Development in data going back to Q2 2020.
- On a year-over-year basis, Research & Development increased in five of the last eight quarters, with growth averaging 52.4%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q4 2024, with growth of 127.4%; the weakest was Q1 2026, with a decline of 9.4%.
- According to Business Quant data, Research & Development for the three prior quarters was $24.61 million (Q1 2026), $23.89 million (Q4 2025) and $25.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.19 Bn | 240.26 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 229.94 Bn | 210.34 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 124.90 Bn | 110.83 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 112.16 Bn | 99.48 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 90.95 Bn | 72.59 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Zscaler | 34.34 Bn | 20.46 Bn | - | - |
| 7 | Okta | 33.43 Bn | 23.53 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Axon Enterprise | 32.24 Bn | 26.77 Bn | 546.45 Mn | 208.69 Mn |
| 9 | MongoDB | 28.94 Bn | 19.41 Bn | 569.77 Mn | 213.87 Mn |
| 10 | First Advantage | 3.39 Bn | 2.47 Bn | 203.99 Mn | 27.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.27 Mn |
| Mar 31, 2026 | 24.61 Mn |
| Dec 31, 2025 | 23.89 Mn |
| Sep 30, 2025 | 25.14 Mn |
| Jun 30, 2025 | 25.68 Mn |
| Mar 31, 2025 | 27.16 Mn |
| Dec 31, 2024 | 24.77 Mn |
| Sep 30, 2024 | 12.91 Mn |
| Jun 30, 2024 | 13.68 Mn |
| Mar 31, 2024 | 12.47 Mn |
| Dec 31, 2023 | 10.89 Mn |
| Sep 30, 2023 | 13.11 Mn |
| Jun 30, 2023 | 12.64 Mn |
| Mar 31, 2023 | 12.62 Mn |
| Dec 31, 2022 | 11.96 Mn |
| Sep 30, 2022 | 13.25 Mn |
| Jun 30, 2022 | 12.95 Mn |
| Mar 31, 2022 | 13.77 Mn |
| Dec 31, 2021 | 11.96 Mn |
| Sep 30, 2021 | 11.31 Mn |
First Advantage Research & Development 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=research-and-development&ticker=FA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=FA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();