Innoviva (INVA) Total Liabilities (2010 - 2026)
Innoviva's Total Liabilities was $469.47 million in Q2 2026, down 24.1% from $618.75 million a year earlier and down 5.1% from the prior quarter.
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Analysis
Innoviva (INVA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Innoviva came in at $462.32 million, down 24.2% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $609.9 million in FY2024 (+7.3%), $568.55 million in FY2023 (-14.6%), $665.71 million in FY2022 (+66.2%) and $400.46 million in FY2021 (+2.2%).
- Quarterly Total Liabilities has moved between $395.43 million (Q3 2021) and $665.71 million (Q4 2022) over five years.
- Compared with a year earlier, Total Liabilities has declined for four straight quarters, with an average decline of 9.5% over the last seven quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2022 (growth of 66.2%); the worst was Q3 2025 (a decline of 25.6%).
- Per Business Quant data, INVA's Total Liabilities in the three quarters before Q2 2026 was $494.93 million (Q1 2026), $462.32 million (Q4 2025) and $419.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Innoviva | 1.54 Bn | -748.67 Mn | 90.62 Mn | 469.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 469.47 Mn |
| Mar 31, 2026 | 494.93 Mn |
| Dec 31, 2025 | 462.32 Mn |
| Sep 30, 2025 | 419.16 Mn |
| Jun 30, 2025 | 618.75 Mn |
| Mar 31, 2025 | 607.49 Mn |
| Dec 31, 2024 | 609.90 Mn |
| Sep 30, 2024 | 563.07 Mn |
| Jun 30, 2024 | 559.40 Mn |
| Mar 31, 2024 | 563.93 Mn |
| Dec 31, 2023 | 568.55 Mn |
| Sep 30, 2023 | 560.61 Mn |
| Jun 30, 2023 | 563.15 Mn |
| Mar 31, 2023 | 568.28 Mn |
| Dec 31, 2022 | 665.71 Mn |
| Sep 30, 2022 | 686.34 Mn |
| Jun 30, 2022 | 572.18 Mn |
| Mar 31, 2022 | 555.26 Mn |
| Dec 31, 2021 | 400.46 Mn |
| Sep 30, 2021 | 395.43 Mn |
API Access
Innoviva 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=INVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=INVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();