BridgeBio Pharma (BBIO) Total Non-Current Liabilities (2018 - 2026)
BridgeBio Pharma (BBIO) recorded Total Non-Current Liabilities of $3.73 billion in Q2 2026, up 30.6% from $2.86 billion a year earlier and up 2.6% from the prior quarter.
BridgeBio Pharma (BBIO) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, BridgeBio Pharma reported Total Non-Current Liabilities of $3.02 billion, up 27.2% from FY2024.
- Annual Total Non-Current Liabilities has increased for three straight years, with a five-year compound annual growth rate of 38.7% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $2.38 billion in FY2024 (+26.2%), $1.88 billion in FY2023 (+2.4%), $1.84 billion in FY2022 (-1.0%) and $1.86 billion in FY2021 (+216.0%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2018.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 12 consecutive quarters, with growth averaging 34.0% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 216.0% in Q4 2021, against a decline of 1.0% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.64 billion (Q1 2026), $3.02 billion (Q4 2025) and $2.93 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | BridgeBio Pharma | 13.01 Bn | 10.12 Bn | 228.63 Mn | 3.73 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.73 Bn |
| Mar 31, 2026 | 3.64 Bn |
| Dec 31, 2025 | 3.02 Bn |
| Sep 30, 2025 | 2.93 Bn |
| Jun 30, 2025 | 2.86 Bn |
| Mar 31, 2025 | 2.52 Bn |
| Dec 31, 2024 | 2.38 Bn |
| Sep 30, 2024 | 1.88 Bn |
| Jun 30, 2024 | 1.88 Bn |
| Mar 31, 2024 | 1.89 Bn |
| Dec 31, 2023 | 1.88 Bn |
| Sep 30, 2023 | 1.84 Bn |
| Jun 30, 2023 | 1.84 Bn |
| Mar 31, 2023 | 1.82 Bn |
| Dec 31, 2022 | 1.84 Bn |
| Sep 30, 2022 | 1.83 Bn |
| Jun 30, 2022 | 1.85 Bn |
| Mar 31, 2022 | 1.83 Bn |
| Dec 31, 2021 | 1.86 Bn |
| Sep 30, 2021 | 1.49 Bn |
BridgeBio Pharma 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=BBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "BBIO", "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=BBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();