Viridian Therapeutics, Inc.\DE (VRDN) Total Liabilities (2013 - 2026)
Viridian Therapeutics, Inc.\DE (VRDN) reported Total Liabilities of $435.14 million for Q2 2026, up 548.0% from $67.16 million a year earlier and up 184.4% from the prior quarter.
Viridian Therapeutics, Inc.\DE (VRDN) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Viridian Therapeutics, Inc.\DE posted Total Liabilities of $177.25 million, up 150.5% from FY2024.
- Total Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 73.7% (FY2020 to FY2025).
- By year, Total Liabilities came in at $70.76 million in FY2024 (+46.2%), $48.4 million in FY2023 (+20.9%), $40.03 million in FY2022 (+150.3%) and $15.99 million in FY2021 (+42.6%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2013.
- Year over year, Total Liabilities has now increased in each of the last 17 quarters, with growth averaging 126.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2026 (growth of 548.0%); the low point was Q1 2022 (a decline of 1.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $153.01 million (Q1 2026), $177.25 million (Q4 2025) and $74.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Viridian Therapeutics, Inc.\DE | 2.33 Bn | 2.33 Bn | - | 435.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 435.14 Mn |
| Mar 31, 2026 | 153.01 Mn |
| Dec 31, 2025 | 177.25 Mn |
| Sep 30, 2025 | 74.17 Mn |
| Jun 30, 2025 | 67.16 Mn |
| Mar 31, 2025 | 56.51 Mn |
| Dec 31, 2024 | 70.76 Mn |
| Sep 30, 2024 | 64.40 Mn |
| Jun 30, 2024 | 56.33 Mn |
| Mar 31, 2024 | 47.85 Mn |
| Dec 31, 2023 | 48.40 Mn |
| Sep 30, 2023 | 45.18 Mn |
| Jun 30, 2023 | 35.61 Mn |
| Mar 31, 2023 | 36.09 Mn |
| Dec 31, 2022 | 40.03 Mn |
| Sep 30, 2022 | 31.57 Mn |
| Jun 30, 2022 | 27.92 Mn |
| Mar 31, 2022 | 16.52 Mn |
| Dec 31, 2021 | 15.99 Mn |
| Sep 30, 2021 | 16.61 Mn |
Viridian Therapeutics, Inc.\DE 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=VRDN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VRDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();