XORTX Therapeutics (XRTX) Change in Accured Expenses (2020 - 2026)
XORTX Therapeutics' Change in Accured Expenses was -$289,387 in the quarter ended Jun 30, 2026, compared with -$30,160 a year earlier.
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Analysis
XORTX Therapeutics (XRTX) Change in Accured Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, XORTX Therapeutics' Change in Accured Expenses was $13,788 through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at $235,949.
- Change in Accured Expenses shows a five-year compound annual growth rate of -4.8% (years ended Dec 2020 to Dec 2025).
- In earlier years, Change in Accured Expenses was -$134,447 in the year ended Dec 31, 2024, -$1.19 million in the year ended Dec 31, 2023, $892,265 in the year ended Dec 31, 2022 and -$259,323 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Change in Accured Expenses since the quarter ended Mar 31, 2023.
- Per Business Quant data, XRTX's Change in Accured Expenses in the three quarters before the quarter ended Jun 30, 2026 was $305,375 (quarter ended Mar 31, 2026), -$2,299 (quarter ended Dec 31, 2025) and $99.00 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | XORTX Therapeutics | 1.61 Mn | -1.69 Mn | - | -289,387.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -289,387.00 |
| Mar 31, 2026 | 305,375.00 |
| Dec 31, 2025 | -2,299.00 |
| Sep 30, 2025 | 99.00 |
| Jun 30, 2025 | -30,160.00 |
| Mar 31, 2025 | 268,309.00 |
| Dec 31, 2024 | -178,792.00 |
| Sep 30, 2024 | -111,882.00 |
| Jun 30, 2024 | 110,853.00 |
| Mar 31, 2024 | 45,374.00 |
| Dec 31, 2023 | -271,698.00 |
| Sep 30, 2023 | 165,253.00 |
| Jun 30, 2023 | -180,175.00 |
| Mar 31, 2023 | -907,816.00 |
| Dec 31, 2022 | 86,798.34 |
| Sep 30, 2022 | 714,503.99 |
| Jun 30, 2022 | 43,017.16 |
| Mar 31, 2022 | 125,245.54 |
| Dec 31, 2021 | -13,355.81 |
| Sep 30, 2021 | 228,960.68 |
API Access
XORTX Therapeutics Change in Accured 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=change-in-accured-expenses&ticker=XRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=XRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();