Personalis (PSNL) Raw Materials (2018 - 2026)
Personalis (PSNL) posted Raw Materials of $7.7 million for Q2 2026, up 47.45% on a QoQ basis from $5.3 million in Q1 2026, and up 69.74% year-over-year from $4.6 million in Q2 2025.
Personalis (PSNL) Raw Materials (2018 - 2026) Analysis & Trends
Personalis has reported Raw Materials for 9 years, with the latest figure at $7.7 million in Q2 2026.
- On a quarterly basis, Raw Materials rose 69.74% year-over-year to $7.7 million in Q2 2026; TTM through Jun 2026 was $7.7 million, a 69.74% increase from a year earlier, with the FY2025 full-year figure at $5.3 million, up 32.22% from the prior year.
- Raw Materials was $7.7 million for Q2 2026 at Personalis, up from $5.3 million in the prior quarter.
- The five-year high for Raw Materials was $7.7 million in Q2 2026, with the low at $3.7 million in Q3 2025.
- Average Raw Materials over 5 years is $5.3 million, with a median of $5.2 million recorded in 2023.
- The sharpest annual moves came in 2022 and 2025: Raw Materials jumped 137.57% in 2022, then slumped 41.11% in 2025.
- Over 5 years, Raw Materials stood at $6.4 million in 2022, then slipped by 11.33% to $5.7 million in 2023, then dropped by 29.77% to $4.0 million in 2024, then surged by 32.22% to $5.3 million in 2025, then soared by 47.37% to $7.7 million in 2026.
- The last three Raw Materials figures came in at $7.7 million (Q2 2026), $5.3 million (Q1 2026), and $5.3 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 | 7.75 Mn |
| Mar 31, 2026 | 5.25 Mn |
| Dec 31, 2025 | 5.26 Mn |
| Sep 30, 2025 | 3.73 Mn |
| Jun 30, 2025 | 4.56 Mn |
| Mar 31, 2025 | 4.21 Mn |
| Dec 31, 2024 | 3.98 Mn |
| Sep 30, 2024 | 6.33 Mn |
| Jun 30, 2024 | 4.69 Mn |
| Mar 31, 2024 | 4.98 Mn |
| Dec 31, 2023 | 5.66 Mn |
| Sep 30, 2023 | 5.13 Mn |
| Jun 30, 2023 | 4.77 Mn |
| Mar 31, 2023 | 5.52 Mn |
| Dec 31, 2022 | 6.38 Mn |
| Sep 30, 2022 | 5.86 Mn |
| Jun 30, 2022 | 6.51 Mn |
| Mar 31, 2022 | 4.82 Mn |
| Dec 31, 2021 | 4.08 Mn |
| Sep 30, 2021 | 3.82 Mn |
Personalis Raw Materials 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=raw-materials&ticker=PSNL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "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=raw-materials&ticker=PSNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();