Personalis (PSNL) Restructuring Costs (2023)
Personalis (PSNL) posted Restructuring Costs of $4.0 million for Q4 2023, up 2557.89% on a QoQ basis from $152000.0 in Q2 2023.
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Analysis
Personalis (PSNL) Restructuring Costs (2023) Analysis & Trends
Personalis has reported Restructuring Costs for 1 years, with the latest figure at $4.0 million in Q4 2023.
- On a quarterly basis, Restructuring Costs changed N/A year-over-year to $4.0 million in Q4 2023; TTM through Dec 2023 was $8.1 million, a N/A change from a year earlier, with the FY2023 full-year figure at $8.1 million, changed N/A from the prior year.
- Restructuring Costs was $4.0 million for Q4 2023 at Personalis, up from $152000.0 in the prior quarter.
- The five-year high for Restructuring Costs was $4.0 million in Q4 2023, with the low at $152000.0 in Q2 2023.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 4.04 Mn |
| Jun 30, 2023 | 152,000.00 |
| Mar 31, 2023 | 3.89 Mn |
API Access
Personalis Restructuring Costs 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=restructuring-costs&ticker=PSNL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=PSNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();