Vanda Pharmaceuticals (VNDA) Other Accumulated Expenses (2011 - 2026)
Vanda Pharmaceuticals' Other Accumulated Expenses was $94.03 million in Q2 2026, up 46.1% from $64.37 million a year earlier and up 25.4% from the prior quarter.
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Analysis
Vanda Pharmaceuticals (VNDA) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Vanda Pharmaceuticals came in at $76.87 million, up 26.2% from FY2024.
- Other Accumulated Expenses has now increased for eight consecutive years, with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $60.9 million in FY2024 (+23.7%), $49.24 million in FY2023 (+7.3%), $45.89 million in FY2022 (+14.8%) and $39.98 million in FY2021 (+16.1%).
- The Q2 2026 figure marks the highest quarterly Other Accumulated Expenses in data going back to Q4 2011.
- Compared with a year earlier, Other Accumulated Expenses has increased for seven straight quarters, with growth averaging 23.1% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q1 2023 (growth of 49.2%); the worst was Q1 2024 (a decline of 5.3%).
- Per Business Quant data, VNDA's Other Accumulated Expenses in the three quarters before Q2 2026 was $74.96 million (Q1 2026), $76.87 million (Q4 2025) and $70.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 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 |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Vanda Pharmaceuticals | 279.91 Mn | -650.03 Mn | 46.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.03 Mn |
| Mar 31, 2026 | 74.96 Mn |
| Dec 31, 2025 | 76.87 Mn |
| Sep 30, 2025 | 70.25 Mn |
| Jun 30, 2025 | 64.37 Mn |
| Mar 31, 2025 | 58.64 Mn |
| Dec 31, 2024 | 60.90 Mn |
| Sep 30, 2024 | 49.79 Mn |
| Jun 30, 2024 | 54.19 Mn |
| Mar 31, 2024 | 55.57 Mn |
| Dec 31, 2023 | 49.24 Mn |
| Sep 30, 2023 | 52.24 Mn |
| Jun 30, 2023 | 55.47 Mn |
| Mar 31, 2023 | 58.70 Mn |
| Dec 31, 2022 | 45.89 Mn |
| Sep 30, 2022 | 42.50 Mn |
| Jun 30, 2022 | 38.16 Mn |
| Mar 31, 2022 | 39.35 Mn |
| Dec 31, 2021 | 39.98 Mn |
| Sep 30, 2021 | 40.18 Mn |
API Access
Vanda Pharmaceuticals Other Accumulated Expenses 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=other-accumulated-expenses&ticker=VNDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=VNDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();