Tevogen (TVGN) Accumulated Expenses (2023 - 2026)
Tevogen (TVGN) posted Accumulated Expenses of $1.24 million for Q1 2026, down 37.4% from $1.98 million a year earlier and down 17.2% from the prior quarter.
Tevogen (TVGN) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Tevogen's Accumulated Expenses came in at $1.5 million, down 12.4% from FY2024.
- In prior years, Tevogen's Accumulated Expenses was $1.71 million in FY2024 (+56.2%) and $1.1 million in FY2023.
- Quarterly Accumulated Expenses has run from a low of $1.1 million in Q4 2023 to a high of $1.98 million in Q1 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last four quarters, with growth averaging 1.5% over the last six quarters.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $1.5 million (Q4 2025), $1.2 million (Q3 2025) and $1.61 million (Q2 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 | Tevogen | 27.05 Mn | 24.09 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.24 Mn |
| Dec 31, 2025 | 1.50 Mn |
| Sep 30, 2025 | 1.20 Mn |
| Jun 30, 2025 | 1.61 Mn |
| Mar 31, 2025 | 1.98 Mn |
| Dec 31, 2024 | 1.71 Mn |
| Sep 30, 2024 | 1.41 Mn |
| Jun 30, 2024 | 1.78 Mn |
| Mar 31, 2024 | 1.56 Mn |
| Dec 31, 2023 | 1.10 Mn |
Tevogen 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=TVGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "TVGN", "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=TVGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();