XORTX Therapeutics (XRTX) Payables (2020 - 2026)
XORTX Therapeutics' Payables came in at $678,522 for the quarter ended Jun 30, 2026, up 49.5% from $453,982 a year earlier but down 19.7% from the prior quarter.
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Analysis
XORTX Therapeutics (XRTX) Payables (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, XORTX Therapeutics' Payables was $553,784, up 276.2% from the prior year.
- Payables carries a five-year compound annual growth rate of -6.4% (years ended Dec 2020 to Dec 2025).
- Going back by year, Payables was $147,205 in the year ended Dec 31, 2024 (-48.1%), $283,428 in the year ended Dec 31, 2023 (-81.2%), $1.51 million in the year ended Dec 31, 2022 (+169.6%) and $559,366 in the year ended Dec 31, 2021 (-27.5%).
- The five-year range for quarterly Payables is $147,205 (the quarter ended Dec 31, 2024) to $1.44 million (the quarter ended Dec 31, 2022).
- Year-over-year, Payables has increased for six consecutive quarters, with growth averaging 60.2% over the last eight quarters.
- The fastest year-over-year change in Payables over five years came in the quarter ended Dec 31, 2025 (growth of 276.2%), and the weakest in the quarter ended Dec 31, 2023 (a decline of 80.4%).
- Business Quant data shows XRTX's Payables at $844,932 (quarter ended Mar 31, 2026), $553,784 (quarter ended Dec 31, 2025) and $677,314 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 20.92 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 5.96 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 7.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 429.50 Mn |
| 10 | XORTX Therapeutics | 1.62 Mn | -1.68 Mn | - | 678,522.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 678,522.00 |
| Mar 31, 2026 | 844,932.00 |
| Dec 31, 2025 | 553,784.00 |
| Sep 30, 2025 | 677,314.00 |
| Jun 30, 2025 | 453,982.00 |
| Mar 31, 2025 | 415,688.00 |
| Dec 31, 2024 | 147,205.00 |
| Sep 30, 2024 | 326,283.00 |
| Jun 30, 2024 | 437,938.00 |
| Mar 31, 2024 | 326,891.00 |
| Dec 31, 2023 | 283,428.00 |
| Sep 30, 2023 | 525,245.00 |
| Jun 30, 2023 | 358,077.00 |
| Mar 31, 2023 | 538,252.00 |
| Dec 31, 2022 | 1.44 Mn |
| Sep 30, 2022 | 1.42 Mn |
| Jun 30, 2022 | 712,797.81 |
| Mar 31, 2022 | 675,670.16 |
| Dec 31, 2021 | 556,127.80 |
| Sep 30, 2021 | 569,465.96 |
API Access
XORTX Therapeutics Payables 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=payables&ticker=XRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=XRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();