Personalis (PSNL) EBITDA (2018 - 2026)
Personalis (PSNL) posted EBITDA of -$33.6 million for Q2 2026, down 4.45% on a QoQ basis from -$32.2 million in Q1 2026, and down 54.06% year-over-year from -$73.1 million in Q2 2025.
Personalis (PSNL) EBITDA (2018 - 2026) Analysis & Trends
Personalis has reported EBITDA for 9 years, with the latest figure at -$33.6 million in Q2 2026.
- On a quarterly basis, EBITDA fell 54.06% year-over-year to -$33.6 million in Q2 2026; TTM through Jun 2026 was -$114.3 million, a 58.78% decrease from a year earlier, with the FY2025 full-year figure at -$88.1 million, down 28.99% from the prior year.
- EBITDA was -$33.6 million for Q2 2026 at Personalis, down from -$32.2 million in the prior quarter.
- The five-year high for EBITDA was -$14.4 million in Q3 2024, with the low at -$33.6 million in Q2 2026.
- Average EBITDA over 5 years is -$24.9 million, with a median of -$25.3 million recorded in 2023.
- The sharpest annual moves came in 2022 and 2024: EBITDA slumped 126.63% in 2022, then surged 53.29% in 2024.
- Over 5 years, EBITDA stood at -$32.1 million in 2022, then grew by 25.29% to -$24.0 million in 2023, then increased by 24.45% to -$18.1 million in 2024, then sank by 39.5% to -$25.3 million in 2025, then tumbled by 32.95% to -$33.6 million in 2026.
- The last three EBITDA figures came in at -$33.6 million (Q2 2026), -$32.2 million (Q1 2026), and -$25.3 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Natera | 53.05 Bn | 51.95 Bn | 486.15 Mn | -75.79 Mn |
| 2 | Quest Diagnostics | 27.19 Bn | 26.87 Bn | 1.03 Bn | 459.00 Mn |
| 3 | Labcorp Holdings | 25.93 Bn | 25.81 Bn | 1.11 Bn | 451.60 Mn |
| 4 | Guardant Health | 23.97 Bn | 22.91 Bn | 219.03 Mn | -129.12 Mn |
| 5 | Tempus AI | 13.64 Bn | 12.82 Bn | 274.25 Mn | -75.91 Mn |
| 6 | Caris Life Sciences | 8.47 Bn | 7.68 Bn | 182.38 Mn | 26.93 Mn |
| 7 | Sotera Health | 5.35 Bn | 4.99 Bn | 177.96 Mn | 109.81 Mn |
| 8 | BillionToOne | 4.96 Bn | 4.41 Bn | 77.11 Mn | 5.50 Mn |
| 9 | Adaptive Biotechnologies | 4.55 Bn | 4.21 Bn | 51.39 Mn | -15.77 Mn |
| 10 | Personalis | 1.74 Bn | 1.53 Bn | 4.74 Mn | -33.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -33.59 Mn |
| Mar 31, 2026 | -32.16 Mn |
| Dec 31, 2025 | -25.27 Mn |
| Sep 30, 2025 | -23.29 Mn |
| Jun 30, 2025 | -21.80 Mn |
| Mar 31, 2025 | -17.70 Mn |
| Dec 31, 2024 | -18.11 Mn |
| Sep 30, 2024 | -14.38 Mn |
| Jun 30, 2024 | -16.89 Mn |
| Mar 31, 2024 | -18.88 Mn |
| Dec 31, 2023 | -23.97 Mn |
| Sep 30, 2023 | -30.79 Mn |
| Jun 30, 2023 | -25.35 Mn |
| Mar 31, 2023 | -29.83 Mn |
| Dec 31, 2022 | -32.09 Mn |
| Sep 30, 2022 | -27.26 Mn |
| Jun 30, 2022 | -27.88 Mn |
| Mar 31, 2022 | -28.31 Mn |
| Dec 31, 2021 | -20.23 Mn |
| Sep 30, 2021 | -17.69 Mn |
Personalis EBITDA 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=ebitda&ticker=PSNL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PSNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();