Relay Therapeutics (RLAY) Depreciation and Depletion (2019 - 2026)
Relay Therapeutics' Depreciation and Depletion came in at $360,000 for Q2 2026, down 64.1% from $1 million a year earlier and down 28.6% from the prior quarter.
Powered by 
Analysis
Relay Therapeutics (RLAY) Depreciation and Depletion (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Relay Therapeutics reported Depreciation and Depletion of $2.21 million, down 55.0% year-over-year; for FY2025, it came in at $3.56 million, down 34.9% from FY2024.
- Depreciation and Depletion carries a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $5.46 million in FY2024 (+3.7%), $5.27 million in FY2023 (+27.6%), $4.13 million in FY2022 (+5.2%) and $3.93 million in FY2021 (+10.6%).
- The Q2 2026 figure represents the lowest quarterly Depreciation and Depletion in data going back to Q3 2019.
- Year-over-year, Depreciation and Depletion has declined for seven consecutive quarters, with an average decline of 33.2% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q2 2023 (growth of 39.5%), and the weakest in Q2 2026 (a decline of 64.1%).
- Business Quant data shows RLAY's Depreciation and Depletion at $504,000 (Q1 2026), $599,000 (Q4 2025) and $748,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | - |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | - |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | Relay Therapeutics | 4.04 Bn | 4.04 Bn | - | 360,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 360,000.00 |
| Mar 31, 2026 | 504,000.00 |
| Dec 31, 2025 | 599,000.00 |
| Sep 30, 2025 | 748,000.00 |
| Jun 30, 2025 | 1.00 Mn |
| Mar 31, 2025 | 1.21 Mn |
| Dec 31, 2024 | 1.33 Mn |
| Sep 30, 2024 | 1.37 Mn |
| Jun 30, 2024 | 1.37 Mn |
| Mar 31, 2024 | 1.40 Mn |
| Dec 31, 2023 | 1.38 Mn |
| Sep 30, 2023 | 1.36 Mn |
| Jun 30, 2023 | 1.33 Mn |
| Mar 31, 2023 | 1.20 Mn |
| Dec 31, 2022 | 1.17 Mn |
| Sep 30, 2022 | 1.03 Mn |
| Jun 30, 2022 | 956,000.00 |
| Mar 31, 2022 | 975,000.00 |
| Dec 31, 2021 | 1.03 Mn |
| Sep 30, 2021 | 1.01 Mn |
API Access
Relay Therapeutics Depreciation and Depletion 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=depreciation-and-depletion&ticker=RLAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=RLAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();