Recursion Pharmaceuticals (RXRX) Short term Debt (2023 - 2026)
Recursion Pharmaceuticals' Short term Debt came in at $9.44 million for Q2 2026, up 7.9% from $8.75 million a year earlier and up 1.9% from the prior quarter.
Recursion Pharmaceuticals (RXRX) Short term Debt (2023 - 2026) Analysis & Trends
At the end of FY2025, Recursion Pharmaceuticals' Short term Debt was $9.09 million, up 7.9% from FY2024.
- Going back by year, Short term Debt was $8.43 million in FY2024 and $41,000 in FY2023.
- The Q2 2026 figure represents the highest quarterly Short term Debt in data going back to Q4 2023.
- Year-over-year, Short term Debt has increased for five consecutive quarters, with growth averaging 8.0% over the last five quarters.
- Business Quant data shows RXRX's Short term Debt at $9.27 million (Q1 2026), $9.09 million (Q4 2025) and $8.92 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Recursion Pharmaceuticals | 1.98 Bn | -627.04 Mn | -3.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.44 Mn |
| Mar 31, 2026 | 9.27 Mn |
| Dec 31, 2025 | 9.09 Mn |
| Sep 30, 2025 | 8.92 Mn |
| Jun 30, 2025 | 8.75 Mn |
| Mar 31, 2025 | 8.59 Mn |
| Dec 31, 2024 | 8.43 Mn |
| Sep 30, 2024 | 8.22 Mn |
| Jun 30, 2024 | 8.11 Mn |
| Dec 31, 2023 | 41,000.00 |
Recursion Pharmaceuticals Short term Debt 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=short-term-debt&ticker=RXRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "ticker": "RXRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt&ticker=RXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();