Exicure (XCUR) Total Current Liabilities (2016 - 2026)
Exicure's Total Current Liabilities was $4.17 million in Q2 2026, down 8.7% from $4.57 million a year earlier and down 6.5% from the prior quarter.
Exicure (XCUR) Total Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Exicure came in at $3.89 million, up 26.6% from FY2024.
- Total Current Liabilities has now increased for three consecutive years, though with a five-year compound annual growth rate of -22.3% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $3.07 million in FY2024 (+22.4%), $2.51 million in FY2023 (+53.1%), $1.64 million in FY2022 (-95.2%) and $34.07 million in FY2021 (+148.0%).
- Quarterly Total Current Liabilities has moved between $1.43 million (Q2 2023) and $34.07 million (Q4 2021) over five years.
- Compared with a year earlier, Total Current Liabilities was higher in six of the last eight quarters, with growth averaging 21.8%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2021 (growth of 148.0%); the worst was Q4 2022 (a decline of 95.2%).
- Per Business Quant data, XCUR's Total Current Liabilities in the three quarters before Q2 2026 was $4.46 million (Q1 2026), $3.89 million (Q4 2025) and $2.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Exicure | 6.50 Mn | -6.00 Mn | - | 4.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.17 Mn |
| Mar 31, 2026 | 4.46 Mn |
| Dec 31, 2025 | 3.89 Mn |
| Sep 30, 2025 | 2.77 Mn |
| Jun 30, 2025 | 4.57 Mn |
| Mar 31, 2025 | 3.89 Mn |
| Dec 31, 2024 | 3.07 Mn |
| Sep 30, 2024 | 3.66 Mn |
| Jun 30, 2024 | 3.43 Mn |
| Mar 31, 2024 | 2.66 Mn |
| Dec 31, 2023 | 2.51 Mn |
| Sep 30, 2023 | 2.22 Mn |
| Jun 30, 2023 | 1.43 Mn |
| Mar 31, 2023 | 2.73 Mn |
| Dec 31, 2022 | 1.64 Mn |
| Sep 30, 2022 | 25.71 Mn |
| Jun 30, 2022 | 19.66 Mn |
| Mar 31, 2022 | 21.36 Mn |
| Dec 31, 2021 | 34.07 Mn |
| Sep 30, 2021 | 21.98 Mn |
Exicure 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=XCUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=XCUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();