Exicure (XCUR) Accumulated Expenses (2016 - 2026)
Exicure (XCUR) recorded Accumulated Expenses of $1.99 million in Q2 2026, down 27.3% from $2.73 million a year earlier and down 1.5% from the prior quarter.
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Analysis
Exicure (XCUR) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, Exicure reported Accumulated Expenses of $2.2 million, up 7.7% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -9.0% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $2.04 million in FY2024 (+132.1%), $879,000 in FY2023 (-31.2%), $1.28 million in FY2022 (-80.2%) and $6.46 million in FY2021 (+83.4%).
- Quarterly Accumulated Expenses has ranged from $836,000 in Q1 2024 to $6.46 million in Q4 2021 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in five of the last eight quarters, with growth averaging 70.6%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 222.8% in Q2 2025, against a decline of 80.2% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.02 million (Q1 2026), $2.2 million (Q4 2025) and $1.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Exicure | 7.14 Mn | 7.14 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.99 Mn |
| Mar 31, 2026 | 2.02 Mn |
| Dec 31, 2025 | 2.20 Mn |
| Sep 30, 2025 | 1.46 Mn |
| Jun 30, 2025 | 2.73 Mn |
| Mar 31, 2025 | 2.68 Mn |
| Dec 31, 2024 | 2.04 Mn |
| Sep 30, 2024 | 2.32 Mn |
| Jun 30, 2024 | 846,000.00 |
| Mar 31, 2024 | 836,000.00 |
| Dec 31, 2023 | 879,000.00 |
| Sep 30, 2023 | 1.36 Mn |
| Jun 30, 2023 | 1.09 Mn |
| Mar 31, 2023 | 1.48 Mn |
| Dec 31, 2022 | 1.28 Mn |
| Sep 30, 2022 | 3.02 Mn |
| Jun 30, 2022 | 3.31 Mn |
| Mar 31, 2022 | 3.23 Mn |
| Dec 31, 2021 | 6.46 Mn |
| Sep 30, 2021 | 5.48 Mn |
API Access
Exicure Accumulated Expenses 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=accumulated-expenses&ticker=XCUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=XCUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();