Personalis (PSNL) Prepaid Assets (2018 - 2026)
Personalis (PSNL) posted Prepaid Assets of $7.7 million for Q2 2026, up 52.23% on a QoQ basis from $5.0 million in Q1 2026, and up 62.02% year-over-year from $4.7 million in Q2 2025.
Personalis (PSNL) Prepaid Assets (2018 - 2026) Analysis & Trends
Personalis has reported Prepaid Assets for 9 years, with the latest figure at $7.7 million in Q2 2026.
- On a quarterly basis, Prepaid Assets rose 62.02% year-over-year to $7.7 million in Q2 2026; TTM through Jun 2026 was $7.7 million, a 62.02% increase from a year earlier, with the FY2025 full-year figure at $5.7 million, up 43.9% from the prior year.
- Prepaid Assets was $7.7 million for Q2 2026 at Personalis, up from $5.0 million in the prior quarter.
- The five-year high for Prepaid Assets was $8.0 million in Q3 2022, with the low at $3.9 million in Q4 2024.
- Average Prepaid Assets over 5 years is $5.5 million, with a median of $5.3 million recorded in 2023.
- The sharpest annual moves came in 2023 and 2026: Prepaid Assets sank 35.94% in 2023, then surged 62.02% in 2026.
- Over 5 years, Prepaid Assets stood at $6.8 million in 2022, then tumbled by 35.94% to $4.4 million in 2023, then slipped by 9.95% to $3.9 million in 2024, then soared by 43.9% to $5.7 million in 2025, then soared by 35.45% to $7.7 million in 2026.
- The last three Prepaid Assets figures came in at $7.7 million (Q2 2026), $5.0 million (Q1 2026), and $5.7 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 | 7.65 Mn |
| Mar 31, 2026 | 5.03 Mn |
| Dec 31, 2025 | 5.65 Mn |
| Sep 30, 2025 | 4.86 Mn |
| Jun 30, 2025 | 4.72 Mn |
| Mar 31, 2025 | 4.84 Mn |
| Dec 31, 2024 | 3.93 Mn |
| Sep 30, 2024 | 4.66 Mn |
| Jun 30, 2024 | 4.05 Mn |
| Mar 31, 2024 | 4.91 Mn |
| Dec 31, 2023 | 4.36 Mn |
| Sep 30, 2023 | 5.66 Mn |
| Jun 30, 2023 | 5.48 Mn |
| Mar 31, 2023 | 7.51 Mn |
| Dec 31, 2022 | 6.81 Mn |
| Sep 30, 2022 | 8.02 Mn |
| Jun 30, 2022 | 5.79 Mn |
| Mar 31, 2022 | 5.90 Mn |
| Dec 31, 2021 | 7.09 Mn |
| Sep 30, 2021 | 7.73 Mn |
Personalis Prepaid Assets 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=prepaid-assets&ticker=PSNL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=PSNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();