XORTX Therapeutics (XRTX) Prepaid Assets (2020 - 2026)
XORTX Therapeutics (XRTX) recorded Prepaid Assets of $1.35 million in the quarter ended Jun 30, 2026, compared with $97,589 a year earlier.
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Analysis
XORTX Therapeutics (XRTX) Prepaid Assets (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, XORTX Therapeutics reported Prepaid Assets of $22,609, down 87.8% from the prior year.
- Annual Prepaid Assets has declined for four straight years, with a five-year compound annual growth rate of -35.2% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Prepaid Assets came in at $185,412 in the year ended Dec 31, 2024 (-21.8%), $236,966 in the year ended Dec 31, 2023 (-37.6%), $379,620 in the year ended Dec 31, 2022 (-62.6%) and $1.01 million in the year ended Dec 31, 2021 (+414.1%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Prepaid Assets in data going back to the quarter ended Dec 31, 2020.
- On a year-over-year basis, Prepaid Assets rose in 1 of the last seven quarters, with an average decline of 51.9%.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 397.4% in the quarter ended Dec 31, 2021, against a decline of 87.8% in the quarter ended Dec 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $56,138 (quarter ended Mar 31, 2026), $22,609 (quarter ended Dec 31, 2025) and $30,444 (quarter ended Sep 30, 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Mn |
| Mar 31, 2026 | 56,138.00 |
| Dec 31, 2025 | 22,609.00 |
| Sep 30, 2025 | 30,444.00 |
| Jun 30, 2025 | 97,589.00 |
| Mar 31, 2025 | 190,949.00 |
| Dec 31, 2024 | 185,412.00 |
| Sep 30, 2024 | 96,536.00 |
| Jun 30, 2024 | 207,290.00 |
| Mar 31, 2024 | 639,034.00 |
| Dec 31, 2023 | 236,966.00 |
| Sep 30, 2023 | 88,927.00 |
| Jun 30, 2023 | 183,667.00 |
| Mar 31, 2023 | 262,325.00 |
| Dec 31, 2022 | 378,783.18 |
| Sep 30, 2022 | 68,475.04 |
| Jun 30, 2022 | 269,619.45 |
| Mar 31, 2022 | 722,716.57 |
| Dec 31, 2021 | 1.01 Mn |
| Sep 30, 2021 | 113,928.62 |
API Access
XORTX Therapeutics Prepaid 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=prepaid-assets&ticker=XRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=XRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();