First Advantage (FA) EBITDA (2020 - 2026)
First Advantage (FA) recorded EBITDA of $118.92 million in Q2 2026, up 19.3% from $99.64 million a year earlier and up 24.2% from the prior quarter.
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Analysis
First Advantage (FA) EBITDA (2020 - 2026) Analysis & Trends
On a TTM basis, First Advantage's EBITDA came in at $426.75 million as of Jun 30, 2026, up 132.6% year-over-year; for FY2025, it came in at $381.05 million, up 356.2% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 23.4% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $83.54 million in FY2024 (-60.4%), $210.99 million in FY2023 (-9.3%), $232.52 million in FY2022 (+12.5%) and $206.64 million in FY2021 (+55.3%).
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q2 2020.
- On a year-over-year basis, EBITDA rose in five of the last six quarters, with growth averaging 80.4%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 166.1% in Q3 2025, against a decline of 32.6% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $95.71 million (Q1 2026), $107.61 million (Q4 2025) and $104.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 693.00 Mn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 170.34 Mn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 827.40 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | -134.60 Mn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 47.04 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 166.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 79.24 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 35.33 Mn |
| 10 | First Advantage | 3.26 Bn | 2.33 Bn | 203.99 Mn | 120.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.41 Mn |
| Mar 31, 2026 | 97.23 Mn |
| Dec 31, 2025 | 109.15 Mn |
| Sep 30, 2025 | 106.09 Mn |
| Jun 30, 2025 | 101.24 Mn |
| Mar 31, 2025 | 70.89 Mn |
| Dec 31, 2024 | -23.49 Mn |
| Sep 30, 2024 | 39.75 Mn |
| Jun 30, 2024 | 40.34 Mn |
| Mar 31, 2024 | 29.55 Mn |
| Dec 31, 2023 | 62.96 Mn |
| Sep 30, 2023 | 56.07 Mn |
| Jun 30, 2023 | 50.16 Mn |
| Mar 31, 2023 | 43.61 Mn |
| Dec 31, 2022 | 64.26 Mn |
| Sep 30, 2022 | 60.86 Mn |
| Jun 30, 2022 | 57.64 Mn |
| Mar 31, 2022 | 51.58 Mn |
| Dec 31, 2021 | 62.08 Mn |
| Sep 30, 2021 | 60.64 Mn |
API Access
First Advantage EBITDA 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=ebitda&ticker=FA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();