Xenetic Biosciences (XBIO) Accumulated Expenses (2014 - 2025)
Xenetic Biosciences (XBIO) reported Accumulated Expenses of $100,000 for Q3 2025, down 66.7% from $300,000 a year earlier and unchanged from the prior quarter.
Analysis
Xenetic Biosciences (XBIO) Accumulated Expenses (2014 - 2025) Analysis & Trends
At the end of FY2024, Xenetic Biosciences posted Accumulated Expenses of $200,000.
- Accumulated Expenses has a four-year compound annual growth rate of -24.3% (FY2020 to FY2024).
- By year, Accumulated Expenses came in at $609,532 in FY2020.
- Five-year quarterly Accumulated Expenses spans a low of $100,000 in Q2 2025 and a high of $873,010 in Q3 2021.
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 | Xenetic Biosciences | 5.25 Mn | -20.58 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 100,000.00 |
| Jun 30, 2025 | 100,000.00 |
| Dec 31, 2024 | 200,000.00 |
| Sep 30, 2024 | 300,000.00 |
| Jun 30, 2024 | 800,000.00 |
| Sep 30, 2021 | 873,010.00 |
| Jun 30, 2021 | 653,126.00 |
| Mar 31, 2021 | 590,380.00 |
| Dec 31, 2020 | 609,532.00 |
| Dec 31, 2018 | 664,029.00 |
| Sep 30, 2018 | 800,376.00 |
| Jun 30, 2018 | 796,164.00 |
| Mar 31, 2018 | 826,552.00 |
| Dec 31, 2017 | 1.14 Mn |
| Sep 30, 2017 | 1.11 Mn |
| Jun 30, 2017 | 920,313.00 |
| Mar 31, 2017 | 605,094.00 |
| Dec 31, 2016 | 838,888.00 |
| Sep 30, 2016 | 1.49 Mn |
| Jun 30, 2016 | 1.61 Mn |
API Access
Xenetic Biosciences 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=XBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "XBIO", "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=XBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();