COMPASS Pathways (CMPS) Times Interest Earned (2023 - 2026)
COMPASS Pathways' Times Interest Earned was -35.31 in Q2 2026, compared with -37.30 a year earlier.
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Analysis
COMPASS Pathways (CMPS) Times Interest Earned (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, COMPASS Pathways' Times Interest Earned was -35.02 through Jun 30, 2026; for FY2025, it came in at -39.64.
- In earlier years, Times Interest Earned was -39.79 in FY2024 and -62.12 in FY2023.
- Quarterly Times Interest Earned has moved between -44.14 (Q1 2025) and -29.29 (Q1 2026) over five years.
- Per Business Quant data, CMPS's Times Interest Earned in the three quarters before Q2 2026 was -29.29 (Q1 2026), -40.42 (Q4 2025) and -36.68 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 28.50 |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | - |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 10.28 |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 7.27 |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 5.22 |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -42.08 |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | - |
| 10 | COMPASS Pathways | 1.57 Bn | 330.26 Mn | - | -35.31 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -35.31 |
| Mar 31, 2026 | -29.29 |
| Dec 31, 2025 | -40.42 |
| Sep 30, 2025 | -36.68 |
| Jun 30, 2025 | -37.30 |
| Mar 31, 2025 | -44.14 |
| Dec 31, 2024 | -42.77 |
| Sep 30, 2024 | -42.12 |
| Jun 30, 2024 | -38.96 |
| Mar 31, 2024 | -35.13 |
| Dec 31, 2023 | -34.17 |
| Sep 30, 2023 | -31.54 |
API Access
COMPASS Pathways Times Interest Earned 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=times-interest-earned&ticker=CMPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=CMPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();