First Advantage (FA) Total Current Liabilities (2020 - 2026)
First Advantage (FA) posted Total Current Liabilities of $229.94 million for Q2 2026, down 9.3% from $253.39 million a year earlier but up 13.0% from the prior quarter.
First Advantage (FA) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, First Advantage's Total Current Liabilities came in at $230.46 million, down 8.1% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- In prior years, First Advantage's Total Current Liabilities was $250.69 million in FY2024 (+194.8%), $85.04 million in FY2023 (-15.6%), $100.79 million in FY2022 (-7.8%) and $109.31 million in FY2021 (+11.7%).
- Quarterly Total Current Liabilities has run from a low of $84.96 million in Q1 2023 to a high of $253.39 million in Q2 2025 over five years.
- On a year-over-year basis, Total Current Liabilities has declined in each of the last three quarters, with growth averaging 75.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2024, with growth of 194.8%; the weakest was Q4 2023, with a decline of 15.6%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $203.5 million (Q1 2026), $230.46 million (Q4 2025) and $239.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | 2.96 Bn |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 1.40 Bn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 642.37 Mn |
| 10 | First Advantage | 3.35 Bn | 2.43 Bn | 203.99 Mn | 229.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 229.94 Mn |
| Mar 31, 2026 | 203.50 Mn |
| Dec 31, 2025 | 230.46 Mn |
| Sep 30, 2025 | 239.83 Mn |
| Jun 30, 2025 | 253.39 Mn |
| Mar 31, 2025 | 241.00 Mn |
| Dec 31, 2024 | 250.69 Mn |
| Sep 30, 2024 | 121.35 Mn |
| Jun 30, 2024 | 99.10 Mn |
| Mar 31, 2024 | 93.20 Mn |
| Dec 31, 2023 | 85.04 Mn |
| Sep 30, 2023 | 94.78 Mn |
| Jun 30, 2023 | 90.11 Mn |
| Mar 31, 2023 | 84.96 Mn |
| Dec 31, 2022 | 100.79 Mn |
| Sep 30, 2022 | 101.64 Mn |
| Jun 30, 2022 | 101.44 Mn |
| Mar 31, 2022 | 100.42 Mn |
| Dec 31, 2021 | 109.31 Mn |
| Sep 30, 2021 | 99.30 Mn |
First Advantage Total 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-current-liabilities&ticker=FA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=FA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();