Personalis (PSNL) Operating Expenses (2018 - 2026)
Personalis (PSNL) posted Operating Expenses of $55.9 million for Q2 2026, up 17.46% on a QoQ basis from $47.6 million in Q1 2026, and up 43.43% year-over-year from $39.0 million in Q2 2025.
Personalis (PSNL) Operating Expenses (2018 - 2026) Analysis & Trends
Personalis has reported Operating Expenses for 9 years, with the latest figure at $55.9 million in Q2 2026.
- On a quarterly basis, Operating Expenses rose 43.43% year-over-year to $55.9 million in Q2 2026; TTM through Jun 2026 was $184.0 million, a 20.79% increase from a year earlier, with the FY2025 full-year figure at $157.7 million, up 3.16% from the prior year.
- Operating Expenses was $55.9 million for Q2 2026 at Personalis, up from $47.6 million in the prior quarter.
- The five-year high for Operating Expenses was $55.9 million in Q2 2026, with the low at $34.9 million in Q4 2024.
- Average Operating Expenses over 5 years is $43.2 million, with a median of $42.4 million recorded in 2022.
- The sharpest annual moves came in 2024 and 2026: Operating Expenses fell 21.12% in 2024, then surged 43.43% in 2026.
- Over 5 years, Operating Expenses stood at $48.8 million in 2022, then retreated by 10.57% to $43.6 million in 2023, then fell by 20.01% to $34.9 million in 2024, then increased by 22.05% to $42.6 million in 2025, then jumped by 31.3% to $55.9 million in 2026.
- The last three Operating Expenses figures came in at $55.9 million (Q2 2026), $47.6 million (Q1 2026), and $42.6 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Natera | 53.05 Bn | 51.95 Bn | 486.15 Mn | 828.54 Mn |
| 2 | Quest Diagnostics | 27.19 Bn | 26.87 Bn | 1.03 Bn | 2.58 Bn |
| 3 | Labcorp Holdings | 25.93 Bn | 25.81 Bn | 1.11 Bn | 582.30 Mn |
| 4 | Guardant Health | 23.97 Bn | 22.91 Bn | 219.03 Mn | 464.10 Mn |
| 5 | Tempus AI | 13.64 Bn | 12.82 Bn | 274.25 Mn | 458.40 Mn |
| 6 | Caris Life Sciences | 8.47 Bn | 7.68 Bn | 182.38 Mn | 236.79 Mn |
| 7 | Sotera Health | 5.35 Bn | 4.99 Bn | 177.96 Mn | 68.16 Mn |
| 8 | BillionToOne | 4.96 Bn | 4.41 Bn | 77.11 Mn | 71.60 Mn |
| 9 | Adaptive Biotechnologies | 4.55 Bn | 4.21 Bn | 51.39 Mn | 87.32 Mn |
| 10 | Personalis | 1.74 Bn | 1.53 Bn | 4.74 Mn | 55.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.95 Mn |
| Mar 31, 2026 | 47.63 Mn |
| Dec 31, 2025 | 42.61 Mn |
| Sep 30, 2025 | 37.79 Mn |
| Jun 30, 2025 | 39.01 Mn |
| Mar 31, 2025 | 38.30 Mn |
| Dec 31, 2024 | 34.91 Mn |
| Sep 30, 2024 | 40.09 Mn |
| Jun 30, 2024 | 39.47 Mn |
| Mar 31, 2024 | 38.41 Mn |
| Dec 31, 2023 | 43.65 Mn |
| Sep 30, 2023 | 49.04 Mn |
| Jun 30, 2023 | 42.05 Mn |
| Mar 31, 2023 | 48.69 Mn |
| Dec 31, 2022 | 48.81 Mn |
| Sep 30, 2022 | 42.12 Mn |
| Jun 30, 2022 | 46.12 Mn |
| Mar 31, 2022 | 43.53 Mn |
| Dec 31, 2021 | 40.91 Mn |
| Sep 30, 2021 | 39.95 Mn |
Personalis Operating 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=operating-expenses&ticker=PSNL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=PSNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();