Relay Therapeutics (RLAY) Accumulated Expenses (2019 - 2026)
Relay Therapeutics (RLAY) posted Accumulated Expenses of $34.08 million for Q2 2026, up 46.8% from $23.22 million a year earlier and up 63.0% from the prior quarter.
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Analysis
Relay Therapeutics (RLAY) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Relay Therapeutics' Accumulated Expenses came in at $13.65 million, down 35.7% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 18.8% (FY2020 to FY2025).
- In prior years, Relay Therapeutics' Accumulated Expenses was $21.24 million in FY2024 (+42.6%), $14.89 million in FY2023 (-34.4%), $22.7 million in FY2022 (+67.5%) and $13.56 million in FY2021 (+135.4%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2019.
- On a year-over-year basis, Accumulated Expenses increased in three of the last eight quarters, with growth averaging 1.5%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2021, with growth of 135.4%; the weakest was Q4 2025, with a decline of 35.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $20.91 million (Q1 2026), $13.65 million (Q4 2025) and $25.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 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 |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Relay Therapeutics | 3.94 Bn | 3.94 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.08 Mn |
| Mar 31, 2026 | 20.91 Mn |
| Dec 31, 2025 | 13.65 Mn |
| Sep 30, 2025 | 25.13 Mn |
| Jun 30, 2025 | 23.22 Mn |
| Mar 31, 2025 | 20.99 Mn |
| Dec 31, 2024 | 21.24 Mn |
| Sep 30, 2024 | 33.22 Mn |
| Jun 30, 2024 | 27.77 Mn |
| Mar 31, 2024 | 22.36 Mn |
| Dec 31, 2023 | 14.89 Mn |
| Sep 30, 2023 | 31.49 Mn |
| Jun 30, 2023 | 26.91 Mn |
| Mar 31, 2023 | 28.05 Mn |
| Dec 31, 2022 | 22.70 Mn |
| Sep 30, 2022 | 29.36 Mn |
| Jun 30, 2022 | 22.11 Mn |
| Mar 31, 2022 | 15.22 Mn |
| Dec 31, 2021 | 13.56 Mn |
| Sep 30, 2021 | 20.10 Mn |
API Access
Relay Therapeutics Accumulated 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=accumulated-expenses&ticker=RLAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=RLAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();