XORTX Therapeutics (XRTX) Other Operating Expenses (2021 - 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 (2021 - 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 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | XORTX Therapeutics | 893,236.25 | -2.41 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 19.00 |
| Sep 30, 2025 | 17.00 |
| Jun 30, 2025 | 10,144.00 |
| Mar 31, 2025 | 10,960.00 |
| Dec 31, 2024 | 13,581.00 |
| Jun 30, 2024 | 16,728.00 |
| Dec 31, 2023 | 23,336.93 |
| Sep 30, 2023 | 10,642.19 |
| Jun 30, 2023 | 51,192.27 |
| Mar 31, 2023 | 40,967.34 |
| Dec 31, 2022 | 8,133.94 |
| Sep 30, 2022 | 64.41 |
| Jun 30, 2022 | 8,951.68 |
| Dec 31, 2021 | 150.73 |
| Mar 31, 2021 | 1,659.21 |
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();