Exicure (XCUR) Depreciation & Amortization (CF) (2016 - 2026)
Exicure (XCUR) recorded Depreciation & Amortization (CF) of $40,000 in Q2 2026, down 43.7% from $71,000 a year earlier and down 18.4% from the prior quarter.
Exicure (XCUR) Depreciation & Amortization (CF) (2016 - 2026) Analysis & Trends
On a TTM basis, Exicure's Depreciation & Amortization (CF) came in at $199,000 as of Jun 30, 2026, up 36.3% year-over-year; for FY2025, it came in at $242,000, up 764.3% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of -20.6% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $28,000 in FY2024 (-95.6%), $634,000 in FY2023 (-45.5%), $1.16 million in FY2022 (+3.6%) and $1.12 million in FY2021 (+46.6%).
- Quarterly Depreciation & Amortization (CF) has ranged from $7,000 in Q4 2023 to $302,000 in Q1 2022 over the past five years.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in three of the last seven quarters, with growth averaging 261.0%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 914.3% in Q2 2025, against a decline of 97.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $49,000 (Q1 2026), $28,000 (Q4 2025) and $82,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 534.00 Mn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 1.96 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 1.93 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 1.11 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 1.62 Bn |
| 10 | Exicure | 7.14 Mn | 7.14 Mn | - | 40,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40,000.00 |
| Mar 31, 2026 | 49,000.00 |
| Dec 31, 2025 | 28,000.00 |
| Sep 30, 2025 | 82,000.00 |
| Jun 30, 2025 | 71,000.00 |
| Mar 31, 2025 | 61,000.00 |
| Dec 31, 2024 | 7,000.00 |
| Sep 30, 2024 | 7,000.00 |
| Jun 30, 2024 | 7,000.00 |
| Mar 31, 2024 | 7,000.00 |
| Dec 31, 2023 | 7,000.00 |
| Sep 30, 2023 | 148,000.00 |
| Jun 30, 2023 | 228,000.00 |
| Mar 31, 2023 | 251,000.00 |
| Dec 31, 2022 | 281,000.00 |
| Sep 30, 2022 | 289,000.00 |
| Jun 30, 2022 | 291,000.00 |
| Mar 31, 2022 | 302,000.00 |
| Dec 31, 2021 | 294,000.00 |
| Sep 30, 2021 | 283,000.00 |
Exicure Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=XCUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=XCUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();