Relay Therapeutics (RLAY) Cash & Equivalents (2019 - 2026)
Relay Therapeutics (RLAY) recorded Cash & Equivalents of $121.19 million in Q2 2026, up 6.4% from $113.94 million a year earlier but down 40.8% from the prior quarter.
Relay Therapeutics (RLAY) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Relay Therapeutics reported Cash & Equivalents of $84.02 million, down 32.4% from FY2024.
- Annual Cash & Equivalents has declined for five straight years, with a five-year compound annual growth rate of -28.4% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $124.29 million in FY2024 (-13.5%), $143.74 million in FY2023 (-5.3%), $151.79 million in FY2022 (-45.8%) and $280.12 million in FY2021 (-37.4%).
- Quarterly Cash & Equivalents has ranged from $84.02 million in Q4 2025 to $354.64 million in Q3 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with an average decline of 1.7%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 118.7% in Q1 2026, against a decline of 59.1% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $204.59 million (Q1 2026), $84.02 million (Q4 2025) and $91.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Relay Therapeutics | 4.04 Bn | 4.04 Bn | - | 121.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 121.19 Mn |
| Mar 31, 2026 | 204.59 Mn |
| Dec 31, 2025 | 84.02 Mn |
| Sep 30, 2025 | 91.56 Mn |
| Jun 30, 2025 | 113.94 Mn |
| Mar 31, 2025 | 93.54 Mn |
| Dec 31, 2024 | 124.29 Mn |
| Sep 30, 2024 | 152.36 Mn |
| Jun 30, 2024 | 134.13 Mn |
| Mar 31, 2024 | 152.87 Mn |
| Dec 31, 2023 | 143.74 Mn |
| Sep 30, 2023 | 151.33 Mn |
| Jun 30, 2023 | 145.90 Mn |
| Mar 31, 2023 | 161.28 Mn |
| Dec 31, 2022 | 151.79 Mn |
| Sep 30, 2022 | 354.64 Mn |
| Jun 30, 2022 | 107.74 Mn |
| Mar 31, 2022 | 119.45 Mn |
| Dec 31, 2021 | 280.12 Mn |
| Sep 30, 2021 | 228.56 Mn |
Relay Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=RLAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RLAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();