XORTX Therapeutics (XRTX) Receivables - Net (2020 - 2026)
XORTX Therapeutics (XRTX) recorded Receivables - Net of $88,090 in the quarter ended Jun 30, 2026, up 711.1% from $10,860 a year earlier and up 36.3% from the prior quarter.
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Analysis
XORTX Therapeutics (XRTX) Receivables - Net (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, XORTX Therapeutics reported Receivables - Net of $80,172, up 354.6% from the prior year.
- Annual Receivables - Net has a five-year compound annual growth rate of 49.6% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Receivables - Net came in at $17,637 in the year ended Dec 31, 2024 (-70.9%), $60,711 in the year ended Dec 31, 2023 (-25.7%), $81,752 in the year ended Dec 31, 2022 (+98.8%) and $41,126 in the year ended Dec 31, 2021 (+283.9%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Receivables - Net since the quarter ended Jun 30, 2022.
- On a year-over-year basis, Receivables - Net has increased for four consecutive quarters, with growth averaging 145.1% over the last eight quarters.
- Peak year-over-year performance for Receivables - Net in the last five years was growth of 711.1% in the quarter ended Jun 30, 2026, against a decline of 84.4% in the quarter ended Jun 30, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $64,633 (quarter ended Mar 31, 2026), $80,172 (quarter ended Dec 31, 2025) and $22,092 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.26 Bn | 1,105.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 618.12 Bn | 536.65 Bn | 17.26 Bn |
| 3 | AbbVie | 503.25 Bn | 476.36 Bn | 12.70 Bn |
| 4 | Merck | 368.28 Bn | 322.66 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.45 Bn | 262.44 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.39 Bn | 235.08 Bn | 12.86 Bn |
| 7 | Amgen | 237.30 Bn | 192.70 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.35 Bn | 165.55 Bn | 6.22 Bn |
| 9 | Pfizer | 169.92 Bn | 116.56 Bn | 10.94 Bn |
| 10 | XORTX Therapeutics | 898,160.24 | -2.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88,090.00 |
| Mar 31, 2026 | 64,633.00 |
| Dec 31, 2025 | 80,172.00 |
| Sep 30, 2025 | 22,092.00 |
| Jun 30, 2025 | 10,860.00 |
| Mar 31, 2025 | 17,252.00 |
| Dec 31, 2024 | 17,637.00 |
| Sep 30, 2024 | 13,111.00 |
| Jun 30, 2024 | 22,807.00 |
| Mar 31, 2024 | 30,883.00 |
| Dec 31, 2023 | 60,711.00 |
| Sep 30, 2023 | 68,241.00 |
| Jun 30, 2023 | 30,414.00 |
| Mar 31, 2023 | 36,421.00 |
| Dec 31, 2022 | 81,707.49 |
| Sep 30, 2022 | 63,290.06 |
| Jun 30, 2022 | 193,552.90 |
| Mar 31, 2022 | 124,795.91 |
| Dec 31, 2021 | 40,440.50 |
| Dec 31, 2020 | 11,255.07 |
API Access
XORTX Therapeutics Receivables - Net 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=receivables-net&ticker=XRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=XRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();