Rein Therapeutics (RNTX) Total Liabilities (2016 - 2026)
Rein Therapeutics (RNTX) posted Total Liabilities of $10.77 million for Q2 2026, up 13.8% from $9.47 million a year earlier but down 26.7% from the prior quarter.
Rein Therapeutics (RNTX) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Rein Therapeutics' Total Liabilities came in at $7.24 million, down 7.2% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- In prior years, Rein Therapeutics' Total Liabilities was $7.8 million in FY2024 (+1.1%), $7.71 million in FY2023 (+127.9%), $3.38 million in FY2022 (-26.1%) and $4.58 million in FY2021 (+9.5%).
- Quarterly Total Liabilities has run from a low of $1.2 million in Q2 2023 to a high of $14.7 million in Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities increased in five of the last eight quarters, with growth averaging 68.2%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2024, with growth of 600.0%; the weakest was Q2 2023, with a decline of 76.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $14.7 million (Q1 2026), $7.24 million (Q4 2025) and $7.52 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 | Rein Therapeutics | 48.30 Mn | 48.30 Mn | - | 10.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.77 Mn |
| Mar 31, 2026 | 14.70 Mn |
| Dec 31, 2025 | 7.24 Mn |
| Sep 30, 2025 | 7.52 Mn |
| Jun 30, 2025 | 9.47 Mn |
| Mar 31, 2025 | 7.75 Mn |
| Dec 31, 2024 | 7.80 Mn |
| Sep 30, 2024 | 8.99 Mn |
| Jun 30, 2024 | 8.38 Mn |
| Mar 31, 2024 | 7.86 Mn |
| Dec 31, 2023 | 7.71 Mn |
| Sep 30, 2023 | 1.62 Mn |
| Jun 30, 2023 | 1.20 Mn |
| Mar 31, 2023 | 2.88 Mn |
| Dec 31, 2022 | 3.38 Mn |
| Sep 30, 2022 | 4.54 Mn |
| Jun 30, 2022 | 5.15 Mn |
| Mar 31, 2022 | 4.15 Mn |
| Dec 31, 2021 | 4.58 Mn |
| Sep 30, 2021 | 4.66 Mn |
Rein Therapeutics 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=RNTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "RNTX", "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=RNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();