Relay Therapeutics (RLAY) Operating Expenses (2019 - 2026)
Relay Therapeutics (RLAY) reported Operating Expenses of $91.17 million for Q2 2026, up 17.6% from $77.52 million a year earlier and up 11.7% from the prior quarter.
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Analysis
Relay Therapeutics (RLAY) Operating Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Relay Therapeutics' Operating Expenses came in at $320.79 million, down 8.7% year-over-year; for FY2025, it came in at $318.09 million, down 16.8% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $382.48 million in FY2024 (-4.0%), $398.55 million in FY2023 (+32.6%), $300.66 million in FY2022 (-18.2%) and $367.73 million in FY2021 (+165.6%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q1 2025.
- Year over year, Operating Expenses gained in 1 of the last eight quarters, with an average decline of 9.0%.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 68.4%); the low point was Q2 2022 (a decline of 59.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $81.59 million (Q1 2026), $67.63 million (Q4 2025) and $80.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 7.68 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 7.61 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Relay Therapeutics | 4.43 Bn | 3.90 Bn | - | 90.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 90.25 Mn |
| Jun 30, 2026 | 91.17 Mn |
| Mar 31, 2026 | 81.59 Mn |
| Dec 31, 2025 | 67.63 Mn |
| Sep 30, 2025 | 80.39 Mn |
| Jun 30, 2025 | 77.52 Mn |
| Mar 31, 2025 | 92.55 Mn |
| Dec 31, 2024 | 84.98 Mn |
| Sep 30, 2024 | 96.37 Mn |
| Jun 30, 2024 | 100.76 Mn |
| Mar 31, 2024 | 100.37 Mn |
| Dec 31, 2023 | 92.20 Mn |
| Sep 30, 2023 | 98.78 Mn |
| Jun 30, 2023 | 106.17 Mn |
| Mar 31, 2023 | 101.40 Mn |
| Dec 31, 2022 | 73.10 Mn |
| Sep 30, 2022 | 86.24 Mn |
| Jun 30, 2022 | 78.18 Mn |
| Mar 31, 2022 | 63.14 Mn |
| Dec 31, 2021 | 68.29 Mn |
API Access
Relay Therapeutics Operating Expenses 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=operating-expenses&ticker=RLAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RLAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();