XORTX Therapeutics (XRTX) Cash & Equivalents (2020 - 2026)
XORTX Therapeutics (XRTX) reported Cash & Equivalents of $994,045 for the quarter ended Jun 30, 2026, down 6.5% from $1.06 million a year earlier but up 297.2% from the prior quarter.
XORTX Therapeutics (XRTX) Cash & Equivalents (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, XORTX Therapeutics posted Cash & Equivalents of $864,514, down 65.1% from the prior year.
- Cash & Equivalents has declined for four consecutive years, though with a five-year compound annual growth rate of 45.1% (years ended Dec 2020 to Dec 2025).
- By year, Cash & Equivalents came in at $2.47 million in the year ended Dec 31, 2024 (-28.3%), $3.45 million in the year ended Dec 31, 2023 (-67.0%), $10.43 million in the year ended Dec 31, 2022 (-29.8%) and $14.87 million in the year ended Dec 31, 2021.
- Five-year quarterly Cash & Equivalents spans a low of $250,275 in the quarter ended Mar 31, 2026 and a high of $14.96 million in the quarter ended Dec 31, 2021.
- Year over year, Cash & Equivalents has now declined in each of the last 15 quarters, with an average decline of 50.7% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was the quarter ended Sep 30, 2022 (growth of 134.8%); the low point was the quarter ended Mar 31, 2026 (a decline of 86.8%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $250,275 (quarter ended Mar 31, 2026), $864,514 (quarter ended Dec 31, 2025) and $1.19 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | XORTX Therapeutics | 1.60 Mn | -1.70 Mn | - | 994,045.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 994,045.00 |
| Mar 31, 2026 | 250,275.00 |
| Dec 31, 2025 | 864,514.00 |
| Sep 30, 2025 | 1.19 Mn |
| Jun 30, 2025 | 1.06 Mn |
| Mar 31, 2025 | 1.90 Mn |
| Dec 31, 2024 | 2.47 Mn |
| Sep 30, 2024 | 2.30 Mn |
| Jun 30, 2024 | 3.08 Mn |
| Mar 31, 2024 | 3.84 Mn |
| Dec 31, 2023 | 3.45 Mn |
| Sep 30, 2023 | 5.07 Mn |
| Jun 30, 2023 | 6.16 Mn |
| Mar 31, 2023 | 7.91 Mn |
| Dec 31, 2022 | 10.41 Mn |
| Sep 30, 2022 | 9.32 Mn |
| Jun 30, 2022 | 10.53 Mn |
| Mar 31, 2022 | 12.24 Mn |
| Dec 31, 2021 | 14.96 Mn |
| Sep 30, 2021 | 3.97 Mn |
XORTX Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=XRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=XRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();