XORTX Therapeutics (XRTX) Total Liabilities (2020 - 2026)
XORTX Therapeutics' Total Liabilities came in at $679,522 for the quarter ended Jun 30, 2026, down 4.5% from $711,455 a year earlier and down 21.1% from the prior quarter.
XORTX Therapeutics (XRTX) Total Liabilities (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, XORTX Therapeutics' Total Liabilities was $599,071, down 21.0% from the prior year.
- Total Liabilities has declined in each of the last three years, with a five-year compound annual growth rate of -4.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Total Liabilities was $757,990 in the year ended Dec 31, 2024 (-8.2%), $825,938 in the year ended Dec 31, 2023 (-85.3%), $5.6 million in the year ended Dec 31, 2022 (+32.6%) and $4.23 million in the year ended Dec 31, 2021 (+447.6%).
- The five-year range for quarterly Total Liabilities is -$4.15 million (the quarter ended Sep 30, 2021) to $5.37 million (the quarter ended Dec 31, 2022).
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with an average decline of 0.7%.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Mar 31, 2024 (growth of 493.5%), and the weakest in the quarter ended Jun 30, 2023 (a decline of 86.5%).
- Business Quant data shows XRTX's Total Liabilities at $860,988 (quarter ended Mar 31, 2026), $599,071 (quarter ended Dec 31, 2025) and $837,408 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
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 | XORTX Therapeutics | 1.62 Mn | -1.68 Mn | - | 679,522.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 679,522.00 |
| Mar 31, 2026 | 860,988.00 |
| Dec 31, 2025 | 599,071.00 |
| Sep 30, 2025 | 837,408.00 |
| Jun 30, 2025 | 711,455.00 |
| Mar 31, 2025 | 757,350.00 |
| Dec 31, 2024 | 757,990.00 |
| Sep 30, 2024 | 1.72 Mn |
| Jun 30, 2024 | 2.09 Mn |
| Mar 31, 2024 | 3.56 Mn |
| Dec 31, 2023 | 825,938.00 |
| Sep 30, 2023 | 553,757.00 |
| Jun 30, 2023 | 403,262.00 |
| Mar 31, 2023 | 599,788.00 |
| Dec 31, 2022 | 5.37 Mn |
| Sep 30, 2022 | 3.26 Mn |
| Jun 30, 2022 | 2.98 Mn |
| Mar 31, 2022 | 3.98 Mn |
| Dec 31, 2021 | 4.20 Mn |
| Sep 30, 2021 | -4.15 Mn |
XORTX 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=XRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "XRTX", "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=XRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();