Relay Therapeutics (RLAY) Non-Current Assets (2019 - 2026)
Relay Therapeutics (RLAY) reported Non-Current Assets of $39.38 million for Q2 2026, down 18.7% from $48.45 million a year earlier and down 4.3% from the prior quarter.
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Analysis
Relay Therapeutics (RLAY) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Relay Therapeutics posted Non-Current Assets of $43.05 million, down 30.7% from FY2024.
- Non-Current Assets has declined for three consecutive years, though with a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $62.09 million in FY2024 (-16.0%), $73.88 million in FY2023 (-8.0%), $80.27 million in FY2022 (+149.3%) and $32.2 million in FY2021 (+8.3%).
- The Q2 2026 figure ranks as the lowest quarterly Non-Current Assets since Q2 2022.
- Year over year, Non-Current Assets has now declined in each of the last 12 quarters, with an average decline of 23.1% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q3 2022 (growth of 151.6%); the low point was Q1 2026 (a decline of 31.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $41.15 million (Q1 2026), $43.05 million (Q4 2025) and $45.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 82.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 141.07 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 110.20 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 75.00 Mn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 61.69 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 34.86 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 159.99 Bn |
| 10 | Relay Therapeutics | 4.43 Bn | 3.90 Bn | - | 36.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 36.84 Mn |
| Jun 30, 2026 | 39.38 Mn |
| Mar 31, 2026 | 41.15 Mn |
| Dec 31, 2025 | 43.05 Mn |
| Sep 30, 2025 | 45.99 Mn |
| Jun 30, 2025 | 48.45 Mn |
| Mar 31, 2025 | 59.70 Mn |
| Dec 31, 2024 | 62.09 Mn |
| Sep 30, 2024 | 64.99 Mn |
| Jun 30, 2024 | 68.28 Mn |
| Mar 31, 2024 | 71.34 Mn |
| Dec 31, 2023 | 73.88 Mn |
| Sep 30, 2023 | 75.16 Mn |
| Jun 30, 2023 | 77.67 Mn |
| Mar 31, 2023 | 79.17 Mn |
| Dec 31, 2022 | 80.27 Mn |
| Sep 30, 2022 | 81.42 Mn |
| Jun 30, 2022 | 33.63 Mn |
| Mar 31, 2022 | 34.09 Mn |
| Dec 31, 2021 | 32.20 Mn |
API Access
Relay Therapeutics Non-Current Assets 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=non-current-assets&ticker=RLAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=RLAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();