Personalis (PSNL) Receivables - Net (2019 - 2026)
Personalis (PSNL) posted Receivables - Net of $15.1 million for Q2 2026, up 15.97% on a QoQ basis from $13.0 million in Q1 2026, and up 51.75% year-over-year from $10.0 million in Q2 2025.
Personalis (PSNL) Receivables - Net (2019 - 2026) Analysis & Trends
Personalis has reported Receivables - Net for 8 years, with the latest figure at $15.1 million in Q2 2026.
- On a quarterly basis, Receivables - Net rose 51.75% year-over-year to $15.1 million in Q2 2026; TTM through Jun 2026 was $15.1 million, a 51.75% increase from a year earlier, with the FY2025 full-year figure at $16.2 million, up 99.05% from the prior year.
- Receivables - Net was $15.1 million for Q2 2026 at Personalis, up from $13.0 million in the prior quarter.
- The five-year high for Receivables - Net was $18.1 million in Q1 2023, with the low at $8.1 million in Q4 2024.
- Average Receivables - Net over 5 years is $13.4 million, with a median of $13.5 million recorded in 2022.
- The sharpest annual moves came in 2024 and 2025: Receivables - Net sank 54.09% in 2024, then soared 99.05% in 2025.
- Over 5 years, Receivables - Net stood at $16.6 million in 2022, then climbed by 6.54% to $17.7 million in 2023, then plunged by 54.09% to $8.1 million in 2024, then jumped by 99.05% to $16.2 million in 2025, then decreased by 6.8% to $15.1 million in 2026.
- The last three Receivables - Net figures came in at $15.1 million (Q2 2026), $13.0 million (Q1 2026), and $16.2 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Natera | 53.05 Bn | 51.95 Bn | 486.15 Mn |
| 2 | Quest Diagnostics | 27.19 Bn | 26.87 Bn | 1.03 Bn |
| 3 | Labcorp Holdings | 25.93 Bn | 25.81 Bn | 1.11 Bn |
| 4 | Guardant Health | 23.97 Bn | 22.91 Bn | 219.03 Mn |
| 5 | Tempus AI | 13.64 Bn | 12.82 Bn | 274.25 Mn |
| 6 | Caris Life Sciences | 8.47 Bn | 7.68 Bn | 182.38 Mn |
| 7 | Sotera Health | 5.35 Bn | 4.99 Bn | 177.96 Mn |
| 8 | BillionToOne | 4.96 Bn | 4.41 Bn | 77.11 Mn |
| 9 | Adaptive Biotechnologies | 4.55 Bn | 4.21 Bn | 51.39 Mn |
| 10 | Personalis | 1.74 Bn | 1.53 Bn | 4.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.10 Mn |
| Mar 31, 2026 | 13.02 Mn |
| Dec 31, 2025 | 16.20 Mn |
| Sep 30, 2025 | 14.38 Mn |
| Jun 30, 2025 | 9.95 Mn |
| Mar 31, 2025 | 10.97 Mn |
| Dec 31, 2024 | 8.14 Mn |
| Sep 30, 2024 | 13.47 Mn |
| Jun 30, 2024 | 12.92 Mn |
| Mar 31, 2024 | 11.35 Mn |
| Dec 31, 2023 | 17.73 Mn |
| Sep 30, 2023 | 13.67 Mn |
| Jun 30, 2023 | 10.13 Mn |
| Mar 31, 2023 | 18.10 Mn |
| Dec 31, 2022 | 16.64 Mn |
| Sep 30, 2022 | 13.59 Mn |
| Jun 30, 2022 | 12.88 Mn |
| Mar 31, 2022 | 13.52 Mn |
| Dec 31, 2021 | 18.47 Mn |
| Sep 30, 2021 | 10.53 Mn |
Personalis Receivables - Net 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-net&ticker=PSNL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "PSNL", "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-net&ticker=PSNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();