XORTX Therapeutics (XRTX) Other Operating Expenses (2020 - 2026)
XORTX Therapeutics' Other Operating Expenses was -$34,200 in the quarter ended Jun 30, 2026, compared with $100,882 a year earlier.
XORTX Therapeutics (XRTX) Other Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, XORTX Therapeutics' Other Operating Expenses was $444,791 through Jun 30, 2026, up 9.9% year-over-year; for the year ended Dec 31, 2025, it was $250,022, down 44.5% from the prior year.
- Other Operating Expenses shows a five-year compound annual growth rate of 15.6% (years ended Dec 2020 to Dec 2025).
- In earlier years, Other Operating Expenses was $450,553 in the year ended Dec 31, 2024 (+18.2%), $381,154 in the year ended Dec 31, 2023 (-16.1%), $454,071 in the year ended Dec 31, 2022 (+100.6%) and $226,374 in the year ended Dec 31, 2021 (+86.5%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Other Operating Expenses since the quarter ended Sep 30, 2021.
- Compared with a year earlier, Other Operating Expenses was higher in three of the last seven quarters, with growth averaging 94.0%.
- The best year-over-year quarter for Other Operating Expenses over five years was the quarter ended Dec 31, 2025 (growth of 412.4%); the worst was the quarter ended Sep 30, 2025 (a decline of 84.2%).
- Per Business Quant data, XRTX's Other Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was $312,379 (quarter ended Mar 31, 2026), $135,710 (quarter ended Dec 31, 2025) and $30,902 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | XORTX Therapeutics | 1.60 Mn | -1.70 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -34,200.00 |
| Mar 31, 2026 | 312,379.00 |
| Dec 31, 2025 | 135,710.00 |
| Sep 30, 2025 | 30,902.00 |
| Jun 30, 2025 | 100,882.00 |
| Mar 31, 2025 | 81,834.00 |
| Dec 31, 2024 | 26,487.00 |
| Sep 30, 2024 | 195,527.00 |
| Jun 30, 2024 | 274,635.00 |
| Mar 31, 2024 | 89,209.43 |
| Dec 31, 2023 | 41,400.63 |
| Sep 30, 2023 | 76,545.15 |
| Jun 30, 2023 | 159,629.22 |
| Mar 31, 2023 | 104,192.15 |
| Dec 31, 2022 | 68,096.40 |
| Sep 30, 2022 | 43,124.88 |
| Jun 30, 2022 | 173,369.09 |
| Mar 31, 2022 | 106,805.00 |
| Dec 31, 2021 | 71,246.00 |
| Sep 30, 2021 | -253,896.39 |
XORTX Therapeutics Other Operating Expenses 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=other-operating-expenses&ticker=XRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=XRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();