Relay Therapeutics (RLAY) Long-Term Investments (2019 - 2026)
Relay Therapeutics' Long-Term Investments came in at $789.75 million for Q2 2026, up 45.5% from $542.83 million a year earlier and up 80.5% from the prior quarter.
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Analysis
Relay Therapeutics (RLAY) Long-Term Investments (2019 - 2026) Analysis & Trends
At the end of FY2025, Relay Therapeutics' Long-Term Investments was $470.5 million, down 28.4% from FY2024.
- Long-Term Investments carries a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- Going back by year, Long-Term Investments was $657.04 million in FY2024 (+8.4%), $606.35 million in FY2023 (-28.4%), $847.12 million in FY2022 (+25.0%) and $677.95 million in FY2021 (+194.2%).
- The Q2 2026 figure represents the highest quarterly Long-Term Investments since Q4 2022.
- Year-over-year, Long-Term Investments increased in four of the last eight quarters, with an average decline of 3.1%.
- The fastest year-over-year change in Long-Term Investments over five years came in Q4 2021 (growth of 194.2%), and the weakest in Q1 2026 (a decline of 29.1%).
- Business Quant data shows RLAY's Long-Term Investments at $437.48 million (Q1 2026), $470.5 million (Q4 2025) and $504.87 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | - |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 266.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 1.22 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 69.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 2.62 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | - |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 1.56 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.79 Bn |
| 10 | Relay Therapeutics | 3.94 Bn | 3.94 Bn | - | 789.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 789.75 Mn |
| Mar 31, 2026 | 437.48 Mn |
| Dec 31, 2025 | 470.50 Mn |
| Sep 30, 2025 | 504.87 Mn |
| Jun 30, 2025 | 542.83 Mn |
| Mar 31, 2025 | 616.81 Mn |
| Dec 31, 2024 | 657.04 Mn |
| Sep 30, 2024 | 687.25 Mn |
| Jun 30, 2024 | 554.29 Mn |
| Mar 31, 2024 | 596.74 Mn |
| Dec 31, 2023 | 606.35 Mn |
| Sep 30, 2023 | 659.29 Mn |
| Jun 30, 2023 | 725.67 Mn |
| Mar 31, 2023 | 776.53 Mn |
| Dec 31, 2022 | 847.12 Mn |
| Sep 30, 2022 | 699.15 Mn |
| Jun 30, 2022 | 730.25 Mn |
| Mar 31, 2022 | 778.73 Mn |
| Dec 31, 2021 | 677.95 Mn |
| Sep 30, 2021 | 387.95 Mn |
API Access
Relay Therapeutics Long-Term Investments 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-investments&ticker=RLAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "RLAY", "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-investments&ticker=RLAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();