Theriva Biologics (TOVX) Total Non-Current Liabilities (2013 - 2026)
Theriva Biologics' Total Non-Current Liabilities was $15.5 million in Q2 2026, up 3.0% from $15.05 million a year earlier and up 10.6% from the prior quarter.
Theriva Biologics (TOVX) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Theriva Biologics came in at $12.85 million, up 38.0% from FY2024.
- Total Non-Current Liabilities shows a three-year compound annual growth rate of 0.1% (FY2022 to FY2025).
- In earlier years, Total Non-Current Liabilities was $9.31 million in FY2024 (-22.3%), $11.98 million in FY2023 (-6.5%) and $12.82 million in FY2022.
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q3 2022.
- Compared with a year earlier, Total Non-Current Liabilities has increased for six straight quarters, with growth averaging 13.4% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2023 (growth of 66.0%); the worst was Q3 2024 (a decline of 39.9%).
- Per Business Quant data, TOVX's Total Non-Current Liabilities in the three quarters before Q2 2026 was $14.01 million (Q1 2026), $12.85 million (Q4 2025) and $13.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Theriva Biologics | 9.11 Mn | -37.25 Mn | - | 15.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.50 Mn |
| Mar 31, 2026 | 14.01 Mn |
| Dec 31, 2025 | 12.85 Mn |
| Sep 30, 2025 | 13.31 Mn |
| Jun 30, 2025 | 15.05 Mn |
| Mar 31, 2025 | 10.98 Mn |
| Dec 31, 2024 | 9.31 Mn |
| Sep 30, 2024 | 8.69 Mn |
| Jun 30, 2024 | 10.29 Mn |
| Mar 31, 2024 | 10.87 Mn |
| Dec 31, 2023 | 11.98 Mn |
| Sep 30, 2023 | 14.46 Mn |
| Jun 30, 2023 | 14.66 Mn |
| Mar 31, 2023 | 14.63 Mn |
| Dec 31, 2022 | 12.82 Mn |
| Sep 30, 2022 | 18.49 Mn |
| Jun 30, 2022 | 16.23 Mn |
| Mar 31, 2022 | 4.13 Mn |
| Dec 31, 2019 | 18.29 Mn |
| Sep 30, 2019 | 18.65 Mn |
Theriva Biologics Total Non-Current 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-non-current-liabilities&ticker=TOVX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "TOVX", "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-non-current-liabilities&ticker=TOVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();