Vanda Pharmaceuticals (VNDA) Total Non-Current Liabilities (2010 - 2026)
Vanda Pharmaceuticals' Total Non-Current Liabilities came in at $182.23 million for Q2 2026, up 41.9% from $128.45 million a year earlier and up 27.8% from the prior quarter.
Vanda Pharmaceuticals (VNDA) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Vanda Pharmaceuticals' Total Non-Current Liabilities was $152.23 million, up 40.9% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $108.07 million in FY2024 (+14.1%), $94.7 million in FY2023 (-5.5%), $100.25 million in FY2022 (+18.7%) and $84.47 million in FY2021 (+9.1%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year-over-year, Total Non-Current Liabilities has increased for nine consecutive quarters, with growth averaging 24.9% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2026 (growth of 41.9%), and the weakest in Q3 2023 (a decline of 9.1%).
- Business Quant data shows VNDA's Total Non-Current Liabilities at $142.63 million (Q1 2026), $152.23 million (Q4 2025) and $124.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Vanda Pharmaceuticals | 244.84 Mn | -685.10 Mn | 46.97 Mn | 182.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 182.23 Mn |
| Mar 31, 2026 | 142.63 Mn |
| Dec 31, 2025 | 152.23 Mn |
| Sep 30, 2025 | 124.10 Mn |
| Jun 30, 2025 | 128.45 Mn |
| Mar 31, 2025 | 111.27 Mn |
| Dec 31, 2024 | 108.07 Mn |
| Sep 30, 2024 | 94.58 Mn |
| Jun 30, 2024 | 99.80 Mn |
| Mar 31, 2024 | 99.86 Mn |
| Dec 31, 2023 | 94.70 Mn |
| Sep 30, 2023 | 92.31 Mn |
| Jun 30, 2023 | 95.34 Mn |
| Mar 31, 2023 | 102.18 Mn |
| Dec 31, 2022 | 100.25 Mn |
| Sep 30, 2022 | 101.53 Mn |
| Jun 30, 2022 | 97.69 Mn |
| Mar 31, 2022 | 100.40 Mn |
| Dec 31, 2021 | 84.47 Mn |
| Sep 30, 2021 | 82.45 Mn |
Vanda Pharmaceuticals Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=VNDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=VNDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();