NextPlat (NXPL) Amortization - Intangibles (2024 - 2026)
NextPlat (NXPL) recorded Amortization - Intangibles of $26,000 in Q2 2026, up 4.0% from $25,000 a year earlier and up 4.0% from the prior quarter.
NextPlat (NXPL) Amortization - Intangibles (2024 - 2026) Analysis & Trends
On a TTM basis, NextPlat's Amortization - Intangibles came in at $78,000 as of Jun 30, 2026, down 77.1% year-over-year; for FY2025, it was $102,000, down 94.0% from FY2024.
- Across earlier years, Amortization - Intangibles came in at $1.71 million in FY2024.
- Quarterly Amortization - Intangibles has ranged from $2,000 in Q4 2025 to $700,000 in Q2 2024 over the past five years.
- On a year-over-year basis, Amortization - Intangibles rose in 1 of the last six quarters, with an average decline of 60.2%.
- Per Business Quant, the preceding three quarters came in at $25,000 (Q1 2026), $2,000 (Q4 2025) and $25,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | NextPlat | 23.55 Mn | -26.93 Mn | 4.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26,000.00 |
| Mar 31, 2026 | 25,000.00 |
| Dec 31, 2025 | 2,000.00 |
| Sep 30, 2025 | 25,000.00 |
| Jun 30, 2025 | 25,000.00 |
| Mar 31, 2025 | 26,000.00 |
| Dec 31, 2024 | 9,000.00 |
| Sep 30, 2024 | 281,000.00 |
| Jun 30, 2024 | 700,000.00 |
| Mar 31, 2024 | 700,000.00 |
NextPlat Amortization - Intangibles 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=amortization-intangibles&ticker=NXPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "NXPL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=NXPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();