Innoviva (INVA) Total Non-Current Liabilities (2010 - 2026)
Innoviva (INVA) reported Total Non-Current Liabilities of $402.19 million for Q2 2026, down 28.0% from $558.73 million a year earlier and down 5.6% from the prior quarter.
Innoviva (INVA) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Innoviva posted Total Non-Current Liabilities of $396.23 million, down 27.4% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $545.63 million in FY2024 (+428.4%), $103.26 million in FY2023 (+156.2%), $40.3 million in FY2022 (-89.9%) and $400.46 million in FY2021 (+2.3%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $13.85 million in Q3 2021 and a high of $558.73 million in Q2 2025.
- Year over year, Total Non-Current Liabilities has now declined in each of the last three quarters, with growth averaging 60.3% over the last seven quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2024 (growth of 428.4%); the low point was Q4 2022 (a decline of 89.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $425.83 million (Q1 2026), $396.23 million (Q4 2025) and $45.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Innoviva | 1.53 Bn | -757.39 Mn | 90.62 Mn | 402.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 402.19 Mn |
| Mar 31, 2026 | 425.83 Mn |
| Dec 31, 2025 | 396.23 Mn |
| Sep 30, 2025 | 45.15 Mn |
| Jun 30, 2025 | 558.73 Mn |
| Mar 31, 2025 | 545.48 Mn |
| Dec 31, 2024 | 545.63 Mn |
| Sep 30, 2024 | 31.01 Mn |
| Jun 30, 2024 | 487.34 Mn |
| Mar 31, 2024 | 492.25 Mn |
| Dec 31, 2023 | 103.26 Mn |
| Sep 30, 2023 | 103.26 Mn |
| Jun 30, 2023 | 494.57 Mn |
| Mar 31, 2023 | 498.14 Mn |
| Dec 31, 2022 | 40.30 Mn |
| Sep 30, 2022 | 40.30 Mn |
| Dec 31, 2021 | 400.46 Mn |
| Sep 30, 2021 | 13.85 Mn |
| Jun 30, 2021 | 395.36 Mn |
| Mar 31, 2021 | 391.53 Mn |
Innoviva 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=INVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "INVA", "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=INVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();