Theravance Biopharma (TBPH) Total Liabilities (2013 - 2026)
Theravance Biopharma (TBPH) recorded Total Liabilities of $180.07 million in Q2 2026, down 10.5% from $201.19 million a year earlier and down 0.9% from the prior quarter.
Theravance Biopharma (TBPH) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Theravance Biopharma reported Total Liabilities of $188.85 million, up 5.7% from FY2024.
- Annual Total Liabilities has increased for three straight years, though with a five-year compound annual growth rate of -24.6% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $178.62 million in FY2024 (+5.7%), $169 million in FY2023 (+2.1%), $165.6 million in FY2022 (-76.8%) and $713.39 million in FY2021 (-7.7%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q1 2025.
- On a year-over-year basis, Total Liabilities rose in seven of the last eight quarters, with growth averaging 4.8%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 19.5% in Q2 2025, against a decline of 76.8% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $181.72 million (Q1 2026), $188.85 million (Q4 2025) and $182.78 million (Q3 2025).
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 | Theravance Biopharma | 883.70 Mn | -543.66 Mn | - | 180.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 180.07 Mn |
| Mar 31, 2026 | 181.72 Mn |
| Dec 31, 2025 | 188.85 Mn |
| Sep 30, 2025 | 182.78 Mn |
| Jun 30, 2025 | 201.19 Mn |
| Mar 31, 2025 | 177.60 Mn |
| Dec 31, 2024 | 178.62 Mn |
| Sep 30, 2024 | 170.45 Mn |
| Jun 30, 2024 | 168.34 Mn |
| Mar 31, 2024 | 166.44 Mn |
| Dec 31, 2023 | 169.00 Mn |
| Sep 30, 2023 | 167.46 Mn |
| Jun 30, 2023 | 166.47 Mn |
| Mar 31, 2023 | 167.99 Mn |
| Dec 31, 2022 | 165.60 Mn |
| Sep 30, 2022 | 282.92 Mn |
| Jun 30, 2022 | 710.57 Mn |
| Mar 31, 2022 | 706.81 Mn |
| Dec 31, 2021 | 713.39 Mn |
| Sep 30, 2021 | 726.70 Mn |
Theravance Biopharma 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=TBPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "TBPH", "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=TBPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();