XORTX Therapeutics (XRTX) Non-Current Assets (2020 - 2026)
XORTX Therapeutics (XRTX) recorded Non-Current Assets of $3.75 million in the quarter ended Jun 30, 2026, up 153.6% from $1.48 million a year earlier and up 167.6% from the prior quarter.
XORTX Therapeutics (XRTX) Non-Current Assets (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, XORTX Therapeutics reported Non-Current Assets of $1.42 million, up 0.3% from the prior year.
- Annual Non-Current Assets has a five-year compound annual growth rate of 52.1% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Non-Current Assets came in at $1.42 million in the year ended Dec 31, 2024 (+1.3%), $1.4 million in the year ended Dec 31, 2023 (-9.2%), $1.54 million in the year ended Dec 31, 2022 (+3.6%) and $1.49 million in the year ended Dec 31, 2021 (+749.7%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Non-Current Assets in data going back to the quarter ended Dec 31, 2020.
- On a year-over-year basis, Non-Current Assets has increased for nine consecutive quarters, with growth averaging 20.2% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 722.1% in the quarter ended Dec 31, 2021, against a decline of 5.2% in the quarter ended Dec 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.4 million (quarter ended Mar 31, 2026), $1.42 million (quarter ended Dec 31, 2025) and $1.45 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.06 Bn | 1,102.65 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 616.49 Bn | 535.01 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 501.55 Bn | 474.66 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 367.24 Bn | 321.62 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 297.99 Bn | 261.98 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 261.48 Bn | 235.17 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 236.17 Bn | 191.57 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 190.68 Bn | 164.87 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 169.35 Bn | 115.99 Bn | 10.94 Bn | 159.77 Bn |
| 10 | XORTX Therapeutics | 924,958.32 | -2.38 Mn | - | 3.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.75 Mn |
| Mar 31, 2026 | 1.40 Mn |
| Dec 31, 2025 | 1.42 Mn |
| Sep 30, 2025 | 1.45 Mn |
| Jun 30, 2025 | 1.48 Mn |
| Mar 31, 2025 | 1.40 Mn |
| Dec 31, 2024 | 1.42 Mn |
| Sep 30, 2024 | 1.44 Mn |
| Jun 30, 2024 | 1.44 Mn |
| Mar 31, 2024 | 1.39 Mn |
| Dec 31, 2023 | 1.40 Mn |
| Sep 30, 2023 | 1.41 Mn |
| Jun 30, 2023 | 1.42 Mn |
| Dec 31, 2022 | 1.48 Mn |
| Dec 31, 2021 | 1.46 Mn |
| Dec 31, 2020 | 183,767.17 |
XORTX Therapeutics Non-Current Assets 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=non-current-assets&ticker=XRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=XRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();