Exicure (XCUR) Total Liabilities (2016 - 2026)
Exicure (XCUR) recorded Total Liabilities of $10.42 million in Q2 2026, up 5.5% from $9.88 million a year earlier but down 2.2% from the prior quarter.
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Analysis
Exicure (XCUR) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Exicure reported Total Liabilities of $10.12 million, up 22.1% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -23.6% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $8.28 million in FY2024 (-3.1%), $8.55 million in FY2023 (+1.7%), $8.41 million in FY2022 (-84.3%) and $53.64 million in FY2021 (+37.7%).
- Quarterly Total Liabilities has ranged from $7.85 million in Q2 2023 to $63.92 million in Q3 2021 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with growth averaging 7.1% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 68.9% in Q3 2021, against a decline of 84.3% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.66 million (Q1 2026), $10.12 million (Q4 2025) and $8.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Exicure | 7.90 Mn | 7.90 Mn | - | 10.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.42 Mn |
| Mar 31, 2026 | 10.66 Mn |
| Dec 31, 2025 | 10.12 Mn |
| Sep 30, 2025 | 8.34 Mn |
| Jun 30, 2025 | 9.88 Mn |
| Mar 31, 2025 | 9.30 Mn |
| Dec 31, 2024 | 8.28 Mn |
| Sep 30, 2024 | 9.09 Mn |
| Jun 30, 2024 | 9.08 Mn |
| Mar 31, 2024 | 8.50 Mn |
| Dec 31, 2023 | 8.55 Mn |
| Sep 30, 2023 | 8.45 Mn |
| Jun 30, 2023 | 7.85 Mn |
| Mar 31, 2023 | 9.32 Mn |
| Dec 31, 2022 | 8.41 Mn |
| Sep 30, 2022 | 32.65 Mn |
| Jun 30, 2022 | 35.79 Mn |
| Mar 31, 2022 | 38.66 Mn |
| Dec 31, 2021 | 53.64 Mn |
| Sep 30, 2021 | 63.92 Mn |
API Access
Exicure 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=XCUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "XCUR", "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=XCUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();