Ovid Therapeutics (OVID) Accumulated Expenses (2016 - 2026)
Ovid Therapeutics' Accumulated Expenses was $4.42 million in Q2 2026, up 54.0% from $2.87 million a year earlier but down 18.3% from the prior quarter.
Ovid Therapeutics (OVID) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Ovid Therapeutics came in at $4.9 million, down 18.3% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -16.4% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $5.99 million in FY2024 (-8.1%), $6.52 million in FY2023 (+44.8%), $4.5 million in FY2022 (-41.3%) and $7.67 million in FY2021 (-36.2%).
- Quarterly Accumulated Expenses has moved between $2.87 million (Q2 2025) and $8.11 million (Q2 2024) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in three of the last eight quarters, with an average decline of 4.6%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2026 (growth of 54.0%); the worst was Q2 2025 (a decline of 64.6%).
- Per Business Quant data, OVID's Accumulated Expenses in the three quarters before Q2 2026 was $5.41 million (Q1 2026), $4.9 million (Q4 2025) and $2.96 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 | Ovid Therapeutics | 448.96 Mn | 80.98 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.42 Mn |
| Mar 31, 2026 | 5.41 Mn |
| Dec 31, 2025 | 4.90 Mn |
| Sep 30, 2025 | 2.96 Mn |
| Jun 30, 2025 | 2.87 Mn |
| Mar 31, 2025 | 6.00 Mn |
| Dec 31, 2024 | 5.99 Mn |
| Sep 30, 2024 | 7.61 Mn |
| Jun 30, 2024 | 8.11 Mn |
| Mar 31, 2024 | 4.04 Mn |
| Dec 31, 2023 | 6.52 Mn |
| Sep 30, 2023 | 6.22 Mn |
| Jun 30, 2023 | 5.43 Mn |
| Mar 31, 2023 | 4.09 Mn |
| Dec 31, 2022 | 4.50 Mn |
| Sep 30, 2022 | 5.70 Mn |
| Jun 30, 2022 | 4.60 Mn |
| Mar 31, 2022 | 7.97 Mn |
| Dec 31, 2021 | 7.67 Mn |
| Sep 30, 2021 | 6.92 Mn |
Ovid Therapeutics 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=accumulated-expenses&ticker=OVID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "OVID", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=OVID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();