Vanda Pharmaceuticals (VNDA) Total Liabilities (2010 - 2026)
Vanda Pharmaceuticals' Total Liabilities was $192.28 million in Q2 2026, up 38.9% from $138.42 million a year earlier and up 25.9% from the prior quarter.
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Analysis
Vanda Pharmaceuticals (VNDA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Vanda Pharmaceuticals came in at $161.76 million, up 37.5% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $117.66 million in FY2024 (+13.6%), $103.53 million in FY2023 (-3.3%), $107.05 million in FY2022 (+20.5%) and $88.86 million in FY2021 (+10.8%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Liabilities has increased for nine straight quarters, with growth averaging 23.8% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2026 (growth of 38.9%); the worst was Q3 2023 (a decline of 7.2%).
- Per Business Quant data, VNDA's Total Liabilities in the three quarters before Q2 2026 was $152.76 million (Q1 2026), $161.76 million (Q4 2025) and $135.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,171.71 Bn | 1,140.30 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 642.13 Bn | 560.65 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 501.64 Bn | 474.75 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 375.66 Bn | 330.04 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 302.79 Bn | 266.78 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 268.68 Bn | 242.37 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 242.43 Bn | 197.83 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 193.69 Bn | 167.89 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 172.47 Bn | 119.12 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Vanda Pharmaceuticals | 244.22 Mn | -685.72 Mn | 46.97 Mn | 192.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 192.28 Mn |
| Mar 31, 2026 | 152.76 Mn |
| Dec 31, 2025 | 161.76 Mn |
| Sep 30, 2025 | 135.14 Mn |
| Jun 30, 2025 | 138.42 Mn |
| Mar 31, 2025 | 120.52 Mn |
| Dec 31, 2024 | 117.66 Mn |
| Sep 30, 2024 | 103.89 Mn |
| Jun 30, 2024 | 108.86 Mn |
| Mar 31, 2024 | 108.69 Mn |
| Dec 31, 2023 | 103.53 Mn |
| Sep 30, 2023 | 98.51 Mn |
| Jun 30, 2023 | 101.78 Mn |
| Mar 31, 2023 | 108.79 Mn |
| Dec 31, 2022 | 107.05 Mn |
| Sep 30, 2022 | 106.13 Mn |
| Jun 30, 2022 | 100.55 Mn |
| Mar 31, 2022 | 101.44 Mn |
| Dec 31, 2021 | 88.86 Mn |
| Sep 30, 2021 | 86.45 Mn |
API Access
Vanda Pharmaceuticals Total 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-liabilities&ticker=VNDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=VNDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();