Recursion Pharmaceuticals (RXRX) Intangibles (2020 - 2026)
Recursion Pharmaceuticals' Intangibles was $282.89 million in Q2 2026, down 17.1% from $341.32 million a year earlier and down 3.8% from the prior quarter.
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Analysis
Recursion Pharmaceuticals (RXRX) Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Recursion Pharmaceuticals came in at $309.9 million, down 7.7% from FY2024.
- Intangibles shows a five-year compound annual growth rate of 183.6% (FY2020 to FY2025).
- In earlier years, Intangibles was $335.86 million in FY2024 (+821.6%), $36.44 million in FY2023, $1.31 million in FY2022 (-5.7%) and $1.39 million in FY2021 (-18.0%).
- The Q2 2026 figure marks the lowest quarterly Intangibles since Q3 2024.
- Compared with a year earlier, Intangibles has declined for three straight quarters, with growth averaging 415.6% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was Q1 2025 (growth of 915.2%); the worst was Q4 2021 (a decline of 18.0%).
- Per Business Quant data, RXRX's Intangibles in the three quarters before Q2 2026 was $294.07 million (Q1 2026), $309.9 million (Q4 2025) and $322.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 48.23 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 49.14 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 24.98 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 42.07 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 37.72 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 20.49 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 14.03 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 47.05 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 412.80 Mn |
| 10 | Recursion Pharmaceuticals | 2.15 Bn | -450.78 Mn | -3.82 Mn | 282.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 282.89 Mn |
| Mar 31, 2026 | 294.07 Mn |
| Dec 31, 2025 | 309.90 Mn |
| Sep 30, 2025 | 322.34 Mn |
| Jun 30, 2025 | 341.32 Mn |
| Mar 31, 2025 | 335.79 Mn |
| Dec 31, 2024 | 335.86 Mn |
| Sep 30, 2024 | 34.09 Mn |
| Jun 30, 2024 | 38.21 Mn |
| Mar 31, 2024 | 33.08 Mn |
| Dec 31, 2023 | 36.44 Mn |
| Sep 30, 2023 | 39.46 Mn |
| Jun 30, 2023 | 42.76 Mn |
| Mar 31, 2023 | 1.32 Mn |
| Dec 31, 2022 | 1.31 Mn |
| Sep 30, 2022 | 1.46 Mn |
| Jun 30, 2022 | 1.23 Mn |
| Mar 31, 2022 | 1.31 Mn |
| Dec 31, 2021 | 1.39 Mn |
| Dec 31, 2020 | 1.69 Mn |
API Access
Recursion Pharmaceuticals Intangibles 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=intangibles&ticker=RXRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=RXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();