Personalis (PSNL) Inventory (2018 - 2026)
Personalis (PSNL) posted Inventory of $9.6 million for Q2 2026, up 39.08% on a QoQ basis from $6.9 million in Q1 2026, and up 77.33% year-over-year from $5.4 million in Q2 2025.
Personalis (PSNL) Inventory (2018 - 2026) Analysis & Trends
Personalis has reported Inventory for 9 years, with the latest figure at $9.6 million in Q2 2026.
- On a quarterly basis, Inventory rose 77.33% year-over-year to $9.6 million in Q2 2026; TTM through Jun 2026 was $9.6 million, a 77.33% increase from a year earlier, with the FY2025 full-year figure at $6.1 million, up 3.45% from the prior year.
- Inventory was $9.6 million for Q2 2026 at Personalis, up from $6.9 million in the prior quarter.
- The five-year high for Inventory was $10.5 million in Q4 2023, with the low at $4.7 million in Q3 2025.
- Average Inventory over 5 years is $7.6 million, with a median of $8.1 million recorded in 2022.
- The sharpest annual moves came in 2025 and 2026: Inventory slumped 45.15% in 2025, then soared 77.33% in 2026.
- Over 5 years, Inventory stood at $8.6 million in 2022, then increased by 21.92% to $10.5 million in 2023, then plunged by 43.3% to $5.9 million in 2024, then rose by 3.45% to $6.1 million in 2025, then jumped by 56.87% to $9.6 million in 2026.
- The last three Inventory figures came in at $9.6 million (Q2 2026), $6.9 million (Q1 2026), and $6.1 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Natera | 53.05 Bn | 51.95 Bn | 486.15 Mn | 80.35 Mn |
| 2 | Quest Diagnostics | 27.19 Bn | 26.87 Bn | 1.03 Bn | 233.00 Mn |
| 3 | Labcorp Holdings | 25.93 Bn | 25.81 Bn | 1.11 Bn | 562.20 Mn |
| 4 | Guardant Health | 23.97 Bn | 22.91 Bn | 219.03 Mn | 105.46 Mn |
| 5 | Tempus AI | 13.64 Bn | 12.82 Bn | 274.25 Mn | 53.51 Mn |
| 6 | Caris Life Sciences | 8.47 Bn | 7.68 Bn | 182.38 Mn | 123.79 Mn |
| 7 | Sotera Health | 5.35 Bn | 4.99 Bn | 177.96 Mn | 56.37 Mn |
| 8 | BillionToOne | 4.96 Bn | 4.41 Bn | 77.11 Mn | 21.14 Mn |
| 9 | Adaptive Biotechnologies | 4.55 Bn | 4.21 Bn | 51.39 Mn | 10.50 Mn |
| 10 | Personalis | 1.74 Bn | 1.53 Bn | 4.74 Mn | 9.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.64 Mn |
| Mar 31, 2026 | 6.93 Mn |
| Dec 31, 2025 | 6.14 Mn |
| Sep 30, 2025 | 4.66 Mn |
| Jun 30, 2025 | 5.44 Mn |
| Mar 31, 2025 | 4.92 Mn |
| Dec 31, 2024 | 5.94 Mn |
| Sep 30, 2024 | 8.49 Mn |
| Jun 30, 2024 | 9.16 Mn |
| Mar 31, 2024 | 8.77 Mn |
| Dec 31, 2023 | 10.47 Mn |
| Sep 30, 2023 | 8.23 Mn |
| Jun 30, 2023 | 8.14 Mn |
| Mar 31, 2023 | 8.22 Mn |
| Dec 31, 2022 | 8.59 Mn |
| Sep 30, 2022 | 7.54 Mn |
| Jun 30, 2022 | 7.89 Mn |
| Mar 31, 2022 | 8.07 Mn |
| Dec 31, 2021 | 5.61 Mn |
| Sep 30, 2021 | 5.52 Mn |
Personalis Inventory 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=inventory&ticker=PSNL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=PSNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();