First Advantage (FA) Receivables (2020 - 2026)
First Advantage's Receivables came in at $309.28 million for Q2 2026, up 9.3% from $283.08 million a year earlier and up 7.5% from the prior quarter.
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Analysis
First Advantage (FA) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, First Advantage's Receivables was $297.28 million, up 11.4% from FY2024.
- Receivables carries a five-year compound annual growth rate of 21.7% (FY2020 to FY2025).
- Going back by year, Receivables was $266.8 million in FY2024 (+87.0%), $142.69 million in FY2023 (-0.8%), $143.81 million in FY2022 (-7.7%) and $155.77 million in FY2021 (+39.9%).
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q4 2020.
- Year-over-year, Receivables has increased for seven consecutive quarters, with growth averaging 54.1% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q2 2025 (growth of 116.5%), and the weakest in Q1 2023 (a decline of 13.6%).
- Business Quant data shows FA's Receivables at $287.68 million (Q1 2026), $297.28 million (Q4 2025) and $291.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 253.23 Bn | 238.30 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 229.38 Bn | 209.78 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 123.96 Bn | 109.89 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 109.43 Bn | 96.74 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 90.39 Bn | 72.03 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Zscaler | 33.82 Bn | 19.94 Bn | - | 1.15 Bn |
| 7 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Axon Enterprise | 31.53 Bn | 26.06 Bn | 546.45 Mn | 1.52 Bn |
| 9 | MongoDB | 27.95 Bn | 18.42 Bn | 569.77 Mn | 483.22 Mn |
| 10 | First Advantage | 3.41 Bn | 2.49 Bn | 203.99 Mn | 309.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 309.28 Mn |
| Mar 31, 2026 | 287.68 Mn |
| Dec 31, 2025 | 297.28 Mn |
| Sep 30, 2025 | 291.03 Mn |
| Jun 30, 2025 | 283.08 Mn |
| Mar 31, 2025 | 266.05 Mn |
| Dec 31, 2024 | 266.80 Mn |
| Sep 30, 2024 | 143.02 Mn |
| Jun 30, 2024 | 130.77 Mn |
| Mar 31, 2024 | 129.01 Mn |
| Dec 31, 2023 | 142.69 Mn |
| Sep 30, 2023 | 156.91 Mn |
| Jun 30, 2023 | 139.97 Mn |
| Mar 31, 2023 | 127.96 Mn |
| Dec 31, 2022 | 143.81 Mn |
| Sep 30, 2022 | 151.20 Mn |
| Jun 30, 2022 | 144.38 Mn |
| Mar 31, 2022 | 148.16 Mn |
| Dec 31, 2021 | 155.77 Mn |
| Sep 30, 2021 | 147.14 Mn |
API Access
First Advantage Receivables 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=receivables&ticker=FA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=FA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();