Vanda Pharmaceuticals (VNDA) Amortization - Intangibles (2010 - 2026)
Vanda Pharmaceuticals (VNDA) posted Amortization - Intangibles of $2 million for Q2 2026, up 11.1% from $1.8 million a year earlier and unchanged from the prior quarter.
Vanda Pharmaceuticals (VNDA) Amortization - Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Vanda Pharmaceuticals was $7.51 million, up 5.0% year-over-year; for FY2025, it came in at $7.01 million, down 3.7% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 36.5% (FY2020 to FY2025).
- In prior years, Vanda Pharmaceuticals' Amortization - Intangibles was $7.27 million in FY2024 (+248.0%), $2.09 million in FY2023 (+37.9%), $1.52 million in FY2022 (+2.6%) and $1.48 million in FY2021 (unchanged).
- Quarterly Amortization - Intangibles has run from a low of $369,000 in Q4 2021 to a high of $2.02 million in Q1 2024 over five years.
- On a year-over-year basis, Amortization - Intangibles increased in four of the last eight quarters, with growth averaging 55.3%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q1 2024, with growth of 404.5%; the weakest was Q1 2025, with a decline of 10.8%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $2 million (Q1 2026), $1.71 million (Q4 2025) and $1.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Vanda Pharmaceuticals | 290.79 Mn | -639.15 Mn | 46.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.00 Mn |
| Mar 31, 2026 | 2.00 Mn |
| Dec 31, 2025 | 1.71 Mn |
| Sep 30, 2025 | 1.80 Mn |
| Jun 30, 2025 | 1.80 Mn |
| Mar 31, 2025 | 1.80 Mn |
| Dec 31, 2024 | 1.75 Mn |
| Sep 30, 2024 | 1.80 Mn |
| Jun 30, 2024 | 1.80 Mn |
| Mar 31, 2024 | 2.02 Mn |
| Dec 31, 2023 | 953,000.00 |
| Sep 30, 2023 | 400,000.00 |
| Jun 30, 2023 | 400,000.00 |
| Mar 31, 2023 | 400,000.00 |
| Dec 31, 2022 | 379,000.00 |
| Sep 30, 2022 | 400,000.00 |
| Jun 30, 2022 | 400,000.00 |
| Mar 31, 2022 | 400,000.00 |
| Dec 31, 2021 | 369,000.00 |
| Sep 30, 2021 | 400,000.00 |
Vanda Pharmaceuticals 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=VNDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "VNDA", "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=VNDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();