NextPlat (NXPL) Amortizatization of Intangibles (2010 - 2026)
NextPlat's Amortizatization of Intangibles came in at $26,000 for Q2 2026, up 4.0% from $25,000 a year earlier and up 4.0% from the prior quarter.
NextPlat (NXPL) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, NextPlat reported Amortizatization of Intangibles of $78,000, down 77.1% year-over-year; for FY2025, it came in at $102,000, down 94.0% from FY2024.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of 32.5% (FY2020 to FY2025).
- Going back by year, Amortizatization of Intangibles was $1.71 million in FY2024 (+27.8%), $1.34 million in FY2023, $25,000 in FY2022 (unchanged) and $25,000 in FY2021 (unchanged).
- The five-year range for quarterly Amortizatization of Intangibles is $2,000 (Q4 2025) to $700,000 (Q2 2024).
- Year-over-year, Amortizatization of Intangibles increased in 1 of the last eight quarters, with an average decline of 64.9%.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q1 2023 (growth of 60.0%), and the weakest in Q4 2024 (a decline of 98.6%).
- Business Quant data shows NXPL's Amortizatization of Intangibles at $25,000 (Q1 2026), $2,000 (Q4 2025) and $25,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | - |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 984.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 600.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | NextPlat | 23.20 Mn | -27.28 Mn | 4.69 Mn | 26,000.00 |
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 |
| Dec 31, 2023 | 637,000.00 |
| Sep 30, 2023 | 687,000.00 |
| Jun 30, 2023 | 3,000.00 |
| Mar 31, 2023 | 10,000.00 |
| Dec 31, 2022 | 6,250.00 |
| Sep 30, 2022 | 6,250.00 |
| Jun 30, 2022 | 6,250.00 |
| Mar 31, 2022 | 6,250.00 |
| Dec 31, 2021 | 6,250.00 |
| Sep 30, 2021 | 6,250.00 |
NextPlat Amortizatization of 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=amortizatization-of-intangibles&ticker=NXPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=NXPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();