Compass Therapeutics (CMPX) Total Liabilities (2018 - 2026)
Compass Therapeutics (CMPX) recorded Total Liabilities of $24.12 million in Q2 2026, up 2.7% from $23.49 million a year earlier and up 29.0% from the prior quarter.
Compass Therapeutics (CMPX) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Compass Therapeutics reported Total Liabilities of $22.8 million, up 50.3% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $15.17 million in FY2024 (+82.0%), $8.34 million in FY2023 (-53.7%), $18.01 million in FY2022 (+31.6%) and $13.68 million in FY2021 (+14.3%).
- The Q2 2026 figure is the highest quarterly Total Liabilities since Q2 2019.
- On a year-over-year basis, Total Liabilities rose in seven of the last eight quarters, with growth averaging 99.7%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 418.7% in Q1 2025, against a decline of 67.9% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.7 million (Q1 2026), $22.8 million (Q4 2025) and $21.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Compass Therapeutics | 152.17 Mn | -653.47 Mn | - | 24.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.12 Mn |
| Mar 31, 2026 | 18.70 Mn |
| Dec 31, 2025 | 22.80 Mn |
| Sep 30, 2025 | 21.65 Mn |
| Jun 30, 2025 | 23.49 Mn |
| Mar 31, 2025 | 21.17 Mn |
| Dec 31, 2024 | 15.17 Mn |
| Sep 30, 2024 | 10.75 Mn |
| Jun 30, 2024 | 9.51 Mn |
| Mar 31, 2024 | 4.08 Mn |
| Dec 31, 2023 | 8.34 Mn |
| Sep 30, 2023 | 9.99 Mn |
| Jun 30, 2023 | 10.90 Mn |
| Mar 31, 2023 | 12.71 Mn |
| Dec 31, 2022 | 18.01 Mn |
| Sep 30, 2022 | 11.72 Mn |
| Jun 30, 2022 | 13.33 Mn |
| Mar 31, 2022 | 12.07 Mn |
| Dec 31, 2021 | 13.68 Mn |
| Sep 30, 2021 | 11.01 Mn |
Compass Therapeutics Total 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-liabilities&ticker=CMPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CMPX", "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-liabilities&ticker=CMPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();