Neogenomics (NEO) Exchange Rate Effect (2017 - 2025)
Neogenomics' (NEO) quarterly Exchange Rate Effect came in at $22000.0 in Q3 2025, up 166.67% quarter-over-quarter from -$33000.0 in Q4 2018.
Neogenomics (NEO) Exchange Rate Effect (2017 - 2025) Analysis & Trends
Neogenomics (NEO) has reported Exchange Rate Effect for 3 consecutive years, with $22000.0 the latest figure, recorded in Q3 2025.
- For the quarter ending Q3 2025, Exchange Rate Effect changed N/A year-over-year to $22000.0; the trailing twelve-month figure through Sep 2025 stood at $22000.0 (changed N/A YoY), and the FY2018 full-year result was -$68000.0, down 254.55% from the prior year.
- Exchange Rate Effect rose to $22000.0 in Q3 2025 per NEO's latest filing, from -$33000.0 in the prior quarter.
- Across five years, Exchange Rate Effect topped out at $22000.0 in Q3 2025 and bottomed at $22000.0 in Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Natera | 53.05 Bn | 51.95 Bn | 486.15 Mn | - |
| 2 | Quest Diagnostics | 27.19 Bn | 26.87 Bn | 1.03 Bn | -1.00 Mn |
| 3 | Labcorp Holdings | 25.93 Bn | 25.81 Bn | 1.11 Bn | 1.30 Mn |
| 4 | Guardant Health | 23.97 Bn | 22.91 Bn | 219.03 Mn | -411,000.00 |
| 5 | Tempus AI | 13.64 Bn | 12.82 Bn | 274.25 Mn | -30,000.00 |
| 6 | Caris Life Sciences | 8.47 Bn | 7.68 Bn | 182.38 Mn | -27,000.00 |
| 7 | Sotera Health | 5.35 Bn | 4.99 Bn | 177.96 Mn | -2.01 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 | Neogenomics | 2.55 Bn | 2.40 Bn | 91.88 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 22,000.00 |
| Dec 31, 2018 | -33,000.00 |
| Sep 30, 2018 | -13,000.00 |
| Jun 30, 2018 | 23,000.00 |
| Mar 31, 2018 | -45,000.00 |
| Dec 31, 2017 | 44,000.00 |
Neogenomics Exchange Rate Effect 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=exchange-rate-effect&ticker=NEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();