Relay Therapeutics (RLAY) Selling, General & Administrative (2019 - 2026)
Relay Therapeutics (RLAY) recorded Selling, General & Administrative of $14.69 million in Q2 2026, up 7.8% from $13.63 million a year earlier and up 33.2% from the prior quarter.
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Analysis
Relay Therapeutics (RLAY) Selling, General & Administrative (2019 - 2026) Analysis & Trends
On a TTM basis, Relay Therapeutics' Selling, General & Administrative came in at $50.06 million as of Jun 30, 2026, down 27.5% year-over-year; for FY2025, it was $56.71 million, down 26.0% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $76.59 million in FY2024 (+2.2%), $74.95 million in FY2023 (+13.6%), $65.98 million in FY2022 (+15.0%) and $57.39 million in FY2021 (+48.7%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q1 2025.
- On a year-over-year basis, Selling, General & Administrative rose in three of the last eight quarters, with an average decline of 16.2%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 26.2% in Q1 2022, against a decline of 41.2% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.03 million (Q1 2026), $12.22 million (Q4 2025) and $12.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Relay Therapeutics | 4.14 Bn | 4.14 Bn | - | 14.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.69 Mn |
| Mar 31, 2026 | 11.03 Mn |
| Dec 31, 2025 | 12.22 Mn |
| Sep 30, 2025 | 12.13 Mn |
| Jun 30, 2025 | 13.63 Mn |
| Mar 31, 2025 | 18.74 Mn |
| Dec 31, 2024 | 16.90 Mn |
| Sep 30, 2024 | 19.75 Mn |
| Jun 30, 2024 | 20.14 Mn |
| Mar 31, 2024 | 19.80 Mn |
| Dec 31, 2023 | 16.77 Mn |
| Sep 30, 2023 | 18.49 Mn |
| Jun 30, 2023 | 20.12 Mn |
| Mar 31, 2023 | 19.58 Mn |
| Dec 31, 2022 | 16.37 Mn |
| Sep 30, 2022 | 16.07 Mn |
| Jun 30, 2022 | 17.47 Mn |
| Mar 31, 2022 | 16.07 Mn |
| Dec 31, 2021 | 15.55 Mn |
| Sep 30, 2021 | 14.68 Mn |
API Access
Relay Therapeutics Selling, General & Administrative 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=selling-general-and-administrative&ticker=RLAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=RLAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();