Recursion Pharmaceuticals (RXRX) Non-Current Assets (2020 - 2026)
Recursion Pharmaceuticals (RXRX) posted Non-Current Assets of $609.21 million for Q2 2026, down 14.8% from $715.2 million a year earlier and down 3.3% from the prior quarter.
Recursion Pharmaceuticals (RXRX) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Recursion Pharmaceuticals' Non-Current Assets came in at $661.29 million, down 9.9% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 83.1% (FY2020 to FY2025).
- In prior years, Recursion Pharmaceuticals' Non-Current Assets was $734.33 million in FY2024 (+240.7%), $215.56 million in FY2023 (+64.0%), $131.47 million in FY2022 (+73.8%) and $75.63 million in FY2021 (+135.2%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q3 2024.
- On a year-over-year basis, Non-Current Assets has declined in each of the last three quarters, with growth averaging 101.0% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2024, with growth of 240.7%; the weakest was Q2 2026, with a decline of 14.8%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $629.97 million (Q1 2026), $661.29 million (Q4 2025) and $685.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Recursion Pharmaceuticals | 1.98 Bn | -625.20 Mn | -3.82 Mn | 609.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 609.21 Mn |
| Mar 31, 2026 | 629.97 Mn |
| Dec 31, 2025 | 661.29 Mn |
| Sep 30, 2025 | 685.42 Mn |
| Jun 30, 2025 | 715.20 Mn |
| Mar 31, 2025 | 721.09 Mn |
| Dec 31, 2024 | 734.33 Mn |
| Sep 30, 2024 | 252.33 Mn |
| Jun 30, 2024 | 253.49 Mn |
| Mar 31, 2024 | 214.23 Mn |
| Dec 31, 2023 | 215.56 Mn |
| Sep 30, 2023 | 220.30 Mn |
| Jun 30, 2023 | 235.68 Mn |
| Mar 31, 2023 | 135.24 Mn |
| Dec 31, 2022 | 131.47 Mn |
| Sep 30, 2022 | 129.92 Mn |
| Jun 30, 2022 | 126.52 Mn |
| Mar 31, 2022 | 114.86 Mn |
| Dec 31, 2021 | 75.63 Mn |
| Sep 30, 2021 | 57.74 Mn |
Recursion Pharmaceuticals Non-Current 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=non-current-assets&ticker=RXRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=RXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();