Recursion Pharmaceuticals (RXRX) Total Non-Current Liabilities (2020 - 2026)
Recursion Pharmaceuticals' Total Non-Current Liabilities was $294.96 million in Q2 2026, down 22.7% from $381.64 million a year earlier and down 5.7% from the prior quarter.
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Analysis
Recursion Pharmaceuticals (RXRX) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Recursion Pharmaceuticals came in at $341.19 million, down 16.6% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $409.08 million in FY2024 (+115.0%), $190.26 million in FY2023 (-11.7%), $215.48 million in FY2022 (+271.1%) and $58.07 million in FY2021 (-88.4%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q3 2024.
- Compared with a year earlier, Total Non-Current Liabilities has declined for three straight quarters, with growth averaging 40.0% over the last six quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2022 (growth of 342.8%); the worst was Q4 2021 (a decline of 88.4%).
- Per Business Quant data, RXRX's Total Non-Current Liabilities in the three quarters before Q2 2026 was $312.73 million (Q1 2026), $341.19 million (Q4 2025) and $351.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Recursion Pharmaceuticals | 1.98 Bn | -627.04 Mn | -3.82 Mn | 294.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 294.96 Mn |
| Mar 31, 2026 | 312.73 Mn |
| Dec 31, 2025 | 341.19 Mn |
| Sep 30, 2025 | 351.55 Mn |
| Jun 30, 2025 | 381.64 Mn |
| Mar 31, 2025 | 366.50 Mn |
| Dec 31, 2024 | 409.08 Mn |
| Sep 30, 2024 | 198.94 Mn |
| Jun 30, 2024 | 188.41 Mn |
| Dec 31, 2023 | 190.26 Mn |
| Dec 31, 2022 | 215.48 Mn |
| Sep 30, 2022 | 223.50 Mn |
| Jun 30, 2022 | 234.94 Mn |
| Mar 31, 2022 | 240.75 Mn |
| Dec 31, 2021 | 58.07 Mn |
| Sep 30, 2021 | 56.11 Mn |
| Jun 30, 2021 | 53.06 Mn |
| Mar 31, 2021 | 502.22 Mn |
| Dec 31, 2020 | 502.17 Mn |
API Access
Recursion Pharmaceuticals Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=RXRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=RXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();