Personalis (PSNL) Other Accumulated Expenses (2018 - 2026)
Personalis (PSNL) posted Other Accumulated Expenses of $6.7 million for Q2 2026, up 40.05% on a QoQ basis from $4.8 million in Q1 2026, and up 363.05% year-over-year from $1.5 million in Q2 2025.
Personalis (PSNL) Other Accumulated Expenses (2018 - 2026) Analysis & Trends
Personalis has reported Other Accumulated Expenses for 8 years, with the latest figure at $6.7 million in Q2 2026.
- On a quarterly basis, Other Accumulated Expenses rose 363.05% year-over-year to $6.7 million in Q2 2026; TTM through Jun 2026 was $6.7 million, a 363.05% increase from a year earlier, with the FY2025 full-year figure at $5.5 million, up 170.38% from the prior year.
- Other Accumulated Expenses was $6.7 million for Q2 2026 at Personalis, up from $4.8 million in the prior quarter.
- The five-year high for Other Accumulated Expenses was $6.7 million in Q2 2026, with the low at $1.4 million in Q4 2023.
- Average Other Accumulated Expenses over 4 years is $3.5 million, with a median of $3.1 million recorded in 2024.
- The sharpest annual moves came in 2024 and 2026: Other Accumulated Expenses soared 43.5% in 2024, then jumped 363.05% in 2026.
- Over 4 years, Other Accumulated Expenses stood at $1.4 million in 2023, then jumped by 43.5% to $2.0 million in 2024, then surged by 170.38% to $5.5 million in 2025, then increased by 23.5% to $6.7 million in 2026.
- The last three Other Accumulated Expenses figures came in at $6.7 million (Q2 2026), $4.8 million (Q1 2026), and $5.5 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 | 6.74 Mn |
| Mar 31, 2026 | 4.81 Mn |
| Dec 31, 2025 | 5.46 Mn |
| Sep 30, 2025 | 4.14 Mn |
| Jun 30, 2025 | 1.46 Mn |
| Mar 31, 2025 | 1.66 Mn |
| Dec 31, 2024 | 2.02 Mn |
| Dec 31, 2023 | 1.41 Mn |
| Sep 30, 2021 | 61,000.00 |
| Dec 31, 2020 | 407,000.00 |
| Sep 30, 2020 | 674,000.00 |
| Jun 30, 2020 | 283,000.00 |
| Mar 31, 2020 | 544,000.00 |
| Dec 31, 2019 | 241,000.00 |
| Sep 30, 2019 | 643,000.00 |
| Dec 31, 2018 | 3,000.00 |
Personalis Other Accumulated 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=other-accumulated-expenses&ticker=PSNL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=PSNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();