First Advantage (FA) Total Non-Current Liabilities (2020 - 2026)
First Advantage (FA) posted Total Non-Current Liabilities of $2.44 billion for Q2 2026, down 4.7% from $2.56 billion a year earlier and down 0.3% from the prior quarter.
First Advantage (FA) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, First Advantage's Total Non-Current Liabilities came in at $2.51 billion, down 3.7% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- In prior years, First Advantage's Total Non-Current Liabilities was $2.6 billion in FY2024 (+261.3%), $720.7 million in FY2023 (-4.7%), $755.87 million in FY2022 (+0.9%) and $748.8 million in FY2021 (-22.3%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q3 2024.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last three quarters, with growth averaging 125.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2024, with growth of 261.3%; the weakest was Q4 2021, with a decline of 22.3%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $2.45 billion (Q1 2026), $2.51 billion (Q4 2025) and $2.54 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 256.50 Bn | 241.57 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 232.55 Bn | 212.95 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 126.09 Bn | 112.02 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 111.36 Bn | 98.68 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 91.79 Bn | 73.43 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Zscaler | 33.98 Bn | 20.10 Bn | - | 5.20 Bn |
| 7 | Okta | 33.21 Bn | 23.30 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Axon Enterprise | 31.98 Bn | 26.51 Bn | 546.45 Mn | 3.62 Bn |
| 9 | MongoDB | 28.95 Bn | 19.42 Bn | 569.77 Mn | 770.18 Mn |
| 10 | First Advantage | 3.36 Bn | 2.44 Bn | 203.99 Mn | 2.44 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.44 Bn |
| Mar 31, 2026 | 2.45 Bn |
| Dec 31, 2025 | 2.51 Bn |
| Sep 30, 2025 | 2.54 Bn |
| Jun 30, 2025 | 2.56 Bn |
| Mar 31, 2025 | 2.58 Bn |
| Dec 31, 2024 | 2.60 Bn |
| Sep 30, 2024 | 733.72 Mn |
| Jun 30, 2024 | 719.94 Mn |
| Mar 31, 2024 | 721.34 Mn |
| Dec 31, 2023 | 720.70 Mn |
| Sep 30, 2023 | 738.86 Mn |
| Jun 30, 2023 | 740.99 Mn |
| Mar 31, 2023 | 737.17 Mn |
| Dec 31, 2022 | 755.87 Mn |
| Sep 30, 2022 | 758.62 Mn |
| Jun 30, 2022 | 756.45 Mn |
| Mar 31, 2022 | 753.79 Mn |
| Dec 31, 2021 | 748.80 Mn |
| Sep 30, 2021 | 735.87 Mn |
First Advantage Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=FA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=FA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();