COMPASS Pathways (CMPS) Total Current Liabilities (2019 - 2026)
COMPASS Pathways' Total Current Liabilities was $325.86 million in Q3 2026, up 65.0% from $197.45 million a year earlier but down 11.3% from the prior quarter.
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Analysis
COMPASS Pathways (CMPS) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at COMPASS Pathways came in at $247.8 million, up 628.5% from FY2024.
- Total Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 104.7% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $34.02 million in FY2024 (+73.5%), $19.6 million in FY2023 (+25.7%), $15.6 million in FY2022 (+3.2%) and $15.11 million in FY2021 (+119.1%).
- Quarterly Total Current Liabilities has moved between $11.25 million (Q1 2023) and $367.29 million (Q2 2026) over five years.
- The best year-over-year quarter for Total Current Liabilities over five years was Q3 2025 (growth of 653.3%); the worst was Q3 2023 (a decline of 48.0%).
- Per Business Quant data, CMPS's Total Current Liabilities in the three quarters before Q3 2026 was $367.29 million (Q2 2026), $153.8 million (Q1 2026) and $247.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 31.73 Bn |
| 10 | COMPASS Pathways | 1.31 Bn | -182.34 Mn | - | 325.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 325.86 Mn |
| Jun 30, 2026 | 367.29 Mn |
| Mar 31, 2026 | 153.80 Mn |
| Dec 31, 2025 | 247.80 Mn |
| Sep 30, 2025 | 197.45 Mn |
| Jun 30, 2025 | 31.33 Mn |
| Mar 31, 2025 | 30.00 Mn |
| Dec 31, 2024 | 34.02 Mn |
| Sep 30, 2024 | 26.21 Mn |
| Jun 30, 2024 | 22.03 Mn |
| Mar 31, 2024 | 19.40 Mn |
| Dec 31, 2023 | 19.60 Mn |
| Sep 30, 2023 | 15.35 Mn |
| Jun 30, 2023 | 12.78 Mn |
| Mar 31, 2023 | 11.25 Mn |
| Dec 31, 2022 | 15.60 Mn |
| Sep 30, 2022 | 29.53 Mn |
| Jun 30, 2022 | 13.23 Mn |
| Mar 31, 2022 | 11.68 Mn |
| Dec 31, 2021 | 15.11 Mn |
API Access
COMPASS Pathways 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=CMPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "CMPS", "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=CMPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();