Viridian Therapeutics, Inc.\DE (VRDN) Accumulated Expenses (2013 - 2026)
Viridian Therapeutics, Inc.\DE (VRDN) posted Accumulated Expenses of $55.14 million for Q2 2026, up 56.0% from $35.34 million a year earlier and up 43.3% from the prior quarter.
Viridian Therapeutics, Inc.\DE (VRDN) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Viridian Therapeutics, Inc.\DE's Accumulated Expenses came in at $62.01 million, up 35.6% from FY2024.
- Annual Accumulated Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 44.9% (FY2020 to FY2025).
- In prior years, Viridian Therapeutics, Inc.\DE's Accumulated Expenses was $45.73 million in FY2024 (+89.7%), $24.11 million in FY2023 (+28.1%), $18.83 million in FY2022 (+70.9%) and $11.02 million in FY2021 (+13.6%).
- Quarterly Accumulated Expenses has run from a low of $10.32 million in Q3 2021 to a high of $62.01 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 17 quarters, with growth averaging 44.1% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2021, with growth of 294.0%; the weakest was Q1 2022, with a decline of 9.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $38.49 million (Q1 2026), $62.01 million (Q4 2025) and $40.63 million (Q3 2025).
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 | Viridian Therapeutics, Inc.\DE | 2.20 Bn | 2.20 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.14 Mn |
| Mar 31, 2026 | 38.49 Mn |
| Dec 31, 2025 | 62.01 Mn |
| Sep 30, 2025 | 40.63 Mn |
| Jun 30, 2025 | 35.34 Mn |
| Mar 31, 2025 | 29.55 Mn |
| Dec 31, 2024 | 45.73 Mn |
| Sep 30, 2024 | 34.74 Mn |
| Jun 30, 2024 | 30.37 Mn |
| Mar 31, 2024 | 23.16 Mn |
| Dec 31, 2023 | 24.11 Mn |
| Sep 30, 2023 | 19.22 Mn |
| Jun 30, 2023 | 24.24 Mn |
| Mar 31, 2023 | 21.43 Mn |
| Dec 31, 2022 | 18.83 Mn |
| Sep 30, 2022 | 12.77 Mn |
| Jun 30, 2022 | 17.04 Mn |
| Mar 31, 2022 | 11.56 Mn |
| Dec 31, 2021 | 11.02 Mn |
| Sep 30, 2021 | 10.32 Mn |
Viridian Therapeutics, Inc.\DE 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=VRDN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "VRDN", "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=VRDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();