Personalis (PSNL) Operating Expenses (2018 - 2026)
Personalis (PSNL) reported Operating Expenses of $55.95 million for Q2 2026, up 43.4% from $39.01 million a year earlier and up 17.5% from the prior quarter.
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Analysis
Personalis (PSNL) Operating Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Personalis' Operating Expenses came in at $183.98 million, up 20.8% year-over-year; for FY2025, it came in at $157.71 million, up 3.2% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- By year, Operating Expenses came in at $152.88 million in FY2024 (-16.6%), $183.42 million in FY2023 (+1.6%), $180.58 million in FY2022 (+19.7%) and $150.85 million in FY2021 (+24.9%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2018.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with growth averaging 5.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2026 (growth of 43.4%); the low point was Q1 2024 (a decline of 21.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $47.63 million (Q1 2026), $42.61 million (Q4 2025) and $37.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 102.50 Bn | 98.51 Bn | - | 17.74 Bn |
| 2 | Natera | 58.05 Bn | 53.74 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Labcorp Holdings | 26.39 Bn | 24.13 Bn | 1.11 Bn | 582.30 Mn |
| 4 | Quest Diagnostics | 26.28 Bn | 24.41 Bn | 1.03 Bn | 2.58 Bn |
| 5 | Tenet Healthcare | 22.71 Bn | 11.72 Bn | - | - |
| 6 | Guardant Health | 21.59 Bn | 17.65 Bn | 219.03 Mn | 464.10 Mn |
| 7 | BrightSpring Health Services | 12.87 Bn | 11.21 Bn | 492.75 Mn | 362.36 Mn |
| 8 | Fresenius Medical Care AG | 12.49 Bn | 4.44 Bn | 1.52 Bn | 901.58 Mn |
| 9 | Encompass Health | 12.04 Bn | 11.70 Bn | - | 1.31 Bn |
| 10 | Personalis | 1.68 Bn | 844.65 Mn | 4.74 Mn | 55.95 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();