Recursion Pharmaceuticals (RXRX) Long-Term Debt Repayments (2020 - 2026)
Recursion Pharmaceuticals (RXRX) reported Long-Term Debt Repayments of $2.25 million for Q2 2026, up 8.0% from $2.08 million a year earlier and up 1.9% from the prior quarter.
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Analysis
Recursion Pharmaceuticals (RXRX) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Recursion Pharmaceuticals' Long-Term Debt Repayments came in at $8.75 million, up 2.7% year-over-year; for FY2025, it was $8.43 million, up 89.8% from FY2024.
- Long-Term Debt Repayments has increased for three consecutive years, with a five-year compound annual growth rate of 155.8% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $4.44 million in FY2024 (+479.6%), $766,000 in FY2023 (+751.1%), $90,000 in FY2022 (-99.3%) and $12.8 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Long-Term Debt Repayments since Q3 2024.
- Year over year, Long-Term Debt Repayments has now increased in each of the last three quarters, with growth averaging 43.0% over the last five quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q4 2024 (growth of 202.7%); the low point was Q3 2022 (a decline of 99.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.21 million (Q1 2026), $2.17 million (Q4 2025) and $2.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Recursion Pharmaceuticals | 1.95 Bn | -654.48 Mn | -3.82 Mn | 2.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.25 Mn |
| Mar 31, 2026 | 2.21 Mn |
| Dec 31, 2025 | 2.17 Mn |
| Sep 30, 2025 | 2.13 Mn |
| Jun 30, 2025 | 2.08 Mn |
| Mar 31, 2025 | 2.05 Mn |
| Dec 31, 2024 | 2.10 Mn |
| Sep 30, 2024 | 2.29 Mn |
| Jun 30, 2024 | 26,000.00 |
| Mar 31, 2024 | 26,000.00 |
| Dec 31, 2023 | 694,000.00 |
| Sep 30, 2023 | 24,000.00 |
| Jun 30, 2023 | 24,000.00 |
| Mar 31, 2023 | 24,000.00 |
| Dec 31, 2022 | 23,000.00 |
| Sep 30, 2022 | 23,000.00 |
| Jun 30, 2022 | 22,000.00 |
| Mar 31, 2022 | 22,000.00 |
| Dec 31, 2021 | 21,000.00 |
| Sep 30, 2021 | 12.74 Mn |
API Access
Recursion Pharmaceuticals Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=RXRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=RXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();