Relay Therapeutics (RLAY) Total Current Liabilities (2019 - 2026)
Relay Therapeutics (RLAY) recorded Total Current Liabilities of $50.8 million in Q2 2026, up 56.2% from $32.53 million a year earlier and up 70.8% from the prior quarter.
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Analysis
Relay Therapeutics (RLAY) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Relay Therapeutics reported Total Current Liabilities of $25.58 million, down 49.6% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $50.73 million in FY2024 (+67.6%), $30.27 million in FY2023 (-52.5%), $63.71 million in FY2022 (+162.0%) and $24.32 million in FY2021 (+78.4%).
- The Q2 2026 figure is the highest quarterly Total Current Liabilities since Q2 2023.
- On a year-over-year basis, Total Current Liabilities rose in two of the last eight quarters, with an average decline of 1.4%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 162.0% in Q4 2022, against a decline of 52.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $29.75 million (Q1 2026), $25.58 million (Q4 2025) and $32.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Relay Therapeutics | 4.43 Bn | 3.90 Bn | - | 59.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 59.15 Mn |
| Jun 30, 2026 | 50.80 Mn |
| Mar 31, 2026 | 29.75 Mn |
| Dec 31, 2025 | 25.58 Mn |
| Sep 30, 2025 | 32.61 Mn |
| Jun 30, 2025 | 32.53 Mn |
| Mar 31, 2025 | 37.05 Mn |
| Dec 31, 2024 | 50.73 Mn |
| Sep 30, 2024 | 46.97 Mn |
| Jun 30, 2024 | 45.04 Mn |
| Mar 31, 2024 | 37.14 Mn |
| Dec 31, 2023 | 30.27 Mn |
| Sep 30, 2023 | 50.75 Mn |
| Jun 30, 2023 | 71.58 Mn |
| Mar 31, 2023 | 70.47 Mn |
| Dec 31, 2022 | 63.71 Mn |
| Sep 30, 2022 | 71.43 Mn |
| Jun 30, 2022 | 43.90 Mn |
| Mar 31, 2022 | 41.69 Mn |
| Dec 31, 2021 | 24.32 Mn |
API Access
Relay Therapeutics Total Current Liabilities 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=total-current-liabilities&ticker=RLAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=RLAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();