Personalis (PSNL) Accumulated Expenses (2018 - 2026)
Personalis (PSNL) posted Accumulated Expenses of $27.0 million for Q2 2026, up 21.55% on a QoQ basis from $22.2 million in Q1 2026, and up 33.77% year-over-year from $20.2 million in Q2 2025.
Personalis (PSNL) Accumulated Expenses (2018 - 2026) Analysis & Trends
Personalis has reported Accumulated Expenses for 9 years, with the latest figure at $27.0 million in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 33.77% year-over-year to $27.0 million in Q2 2026; TTM through Jun 2026 was $27.0 million, a 33.77% increase from a year earlier, with the FY2025 full-year figure at $25.1 million, up 15.95% from the prior year.
- Accumulated Expenses was $27.0 million for Q2 2026 at Personalis, up from $22.2 million in the prior quarter.
- The five-year high for Accumulated Expenses was $27.0 million in Q2 2026, with the low at $16.2 million in Q1 2024.
- Average Accumulated Expenses over 5 years is $21.2 million, with a median of $20.6 million recorded in 2023.
- The sharpest annual moves came in 2022 and 2024: Accumulated Expenses surged 74.63% in 2022, then decreased 21.76% in 2024.
- Over 5 years, Accumulated Expenses stood at $19.0 million in 2022, then increased by 25.92% to $23.9 million in 2023, then decreased by 9.66% to $21.6 million in 2024, then advanced by 15.95% to $25.1 million in 2025, then advanced by 7.6% to $27.0 million in 2026.
- The last three Accumulated Expenses figures came in at $27.0 million (Q2 2026), $22.2 million (Q1 2026), and $25.1 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 | 26.99 Mn |
| Mar 31, 2026 | 22.20 Mn |
| Dec 31, 2025 | 25.08 Mn |
| Sep 30, 2025 | 23.55 Mn |
| Jun 30, 2025 | 20.17 Mn |
| Mar 31, 2025 | 20.01 Mn |
| Dec 31, 2024 | 21.63 Mn |
| Sep 30, 2024 | 20.54 Mn |
| Jun 30, 2024 | 19.25 Mn |
| Mar 31, 2024 | 16.16 Mn |
| Dec 31, 2023 | 23.94 Mn |
| Sep 30, 2023 | 19.82 Mn |
| Jun 30, 2023 | 16.41 Mn |
| Mar 31, 2023 | 20.65 Mn |
| Dec 31, 2022 | 19.01 Mn |
| Sep 30, 2022 | 22.66 Mn |
| Jun 30, 2022 | 19.76 Mn |
| Mar 31, 2022 | 24.11 Mn |
| Dec 31, 2021 | 18.11 Mn |
| Sep 30, 2021 | 16.26 Mn |
Personalis Accumulated Expenses 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=accumulated-expenses&ticker=PSNL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PSNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();