Neogenomics (NEO) Restructuring Costs (2022 - 2024)
Neogenomics' Restructuring Costs came in at $1.71 million for Q4 2024, up 41.7% from $1.21 million a year earlier and up 69.2% from the prior quarter.
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Analysis
Neogenomics (NEO) Restructuring Costs (2022 - 2024) Analysis & Trends
For FY2024, Neogenomics' Restructuring Costs was $6.66 million, down 40.0% from FY2023.
- Going back by year, Restructuring Costs was $11.09 million in FY2023 (+145.5%) and $4.52 million in FY2022.
- The five-year range for quarterly Restructuring Costs is $1.01 million (Q3 2024) to $4.68 million (Q1 2023).
- Year-over-year, Restructuring Costs increased in 1 of the last five quarters, with an average decline of 36.6%.
- Business Quant data shows NEO's Restructuring Costs at $1.01 million (Q3 2024), $1.54 million (Q2 2024) and $2.4 million (Q1 2024) in the three quarters before Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | HCA Healthcare | 102.40 Bn | 98.41 Bn | - |
| 2 | Natera | 57.76 Bn | 53.44 Bn | 485.19 Mn |
| 3 | Labcorp Holdings | 26.32 Bn | 24.06 Bn | 1.11 Bn |
| 4 | Quest Diagnostics | 26.12 Bn | 24.25 Bn | 1.03 Bn |
| 5 | Tenet Healthcare | 22.58 Bn | 11.59 Bn | - |
| 6 | Guardant Health | 21.17 Bn | 17.23 Bn | 219.03 Mn |
| 7 | Fresenius Medical Care AG | 12.95 Bn | 4.90 Bn | 1.52 Bn |
| 8 | BrightSpring Health Services | 12.91 Bn | 11.24 Bn | 492.75 Mn |
| 9 | Davita | 12.31 Bn | 9.51 Bn | 1.16 Bn |
| 10 | Neogenomics | 2.16 Bn | 1.54 Bn | 91.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 1.71 Mn |
| Sep 30, 2024 | 1.01 Mn |
| Jun 30, 2024 | 1.54 Mn |
| Mar 31, 2024 | 2.40 Mn |
| Dec 31, 2023 | 1.21 Mn |
| Sep 30, 2023 | 2.13 Mn |
| Jun 30, 2023 | 3.07 Mn |
| Mar 31, 2023 | 4.68 Mn |
| Dec 31, 2022 | 4.52 Mn |
API Access
Neogenomics 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=NEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "NEO", "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=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();