Relay Therapeutics (RLAY) Other Operating Expenses (2021 - 2026)
Relay Therapeutics (RLAY) recorded Other Operating Expenses of $53,000 in Q1 2026, up 488.9% from $9,000 a year earlier.
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Analysis
Relay Therapeutics (RLAY) Other Operating Expenses (2021 - 2026) Analysis & Trends
For FY2024, Relay Therapeutics reported Other Operating Expenses of -$13.21 million.
- Across earlier years, Other Operating Expenses came in at -$6.42 million in FY2023, -$11.68 million in FY2022 and $137.69 million in FY2021.
- The Q1 2026 figure is the highest quarterly Other Operating Expenses since Q3 2022.
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 |
|---|---|
| Mar 31, 2026 | 53,000.00 |
| Mar 31, 2025 | 9,000.00 |
| Jun 30, 2024 | -11.37 Mn |
| Mar 31, 2024 | -1.83 Mn |
| Dec 31, 2023 | -2.07 Mn |
| Sep 30, 2023 | -1.20 Mn |
| Jun 30, 2023 | -2.15 Mn |
| Mar 31, 2023 | -1.00 Mn |
| Dec 31, 2022 | -10.54 Mn |
| Sep 30, 2022 | 3.26 Mn |
| Jun 30, 2022 | 200,000.00 |
| Mar 31, 2022 | -4.60 Mn |
| Dec 31, 2021 | 836,000.00 |
| Sep 30, 2021 | 2.00 Mn |
| Jun 30, 2021 | 134.86 Mn |
API Access
Relay Therapeutics Other 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=other-operating-expenses&ticker=RLAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=RLAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();