Xenetic Biosciences (XBIO) Selling, General & Administrative (2014 - 2026)
Xenetic Biosciences (XBIO) recorded Selling, General & Administrative of $1.08 million in Q2 2026, up 64.2% from $657,752 a year earlier and up 66.8% from the prior quarter.
Xenetic Biosciences (XBIO) Selling, General & Administrative (2014 - 2026) Analysis & Trends
On a TTM basis, Xenetic Biosciences' Selling, General & Administrative came in at $3.16 million as of Jun 30, 2026, up 14.2% year-over-year; for FY2025, it came in at $2.75 million, down 19.6% from FY2024.
- Annual Selling, General & Administrative has declined for four straight years, with a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $3.42 million in FY2024 (-4.1%), $3.56 million in FY2023 (-2.5%), $3.65 million in FY2022 (-2.4%) and $3.74 million in FY2021 (+10.1%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q2 2024.
- On a year-over-year basis, Selling, General & Administrative rose in three of the last eight quarters, with an average decline of 3.6%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 64.2% in Q2 2026, against a decline of 41.8% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $647,597 (Q1 2026), $615,907 (Q4 2025) and $815,209 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Xenetic Biosciences | 5.25 Mn | -20.58 Mn | - | 1.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.08 Mn |
| Mar 31, 2026 | 647,597.00 |
| Dec 31, 2025 | 615,907.00 |
| Sep 30, 2025 | 815,209.00 |
| Jun 30, 2025 | 657,752.00 |
| Mar 31, 2025 | 656,641.00 |
| Dec 31, 2024 | 705,710.00 |
| Sep 30, 2024 | 745,731.00 |
| Jun 30, 2024 | 1.13 Mn |
| Mar 31, 2024 | 834,910.00 |
| Dec 31, 2023 | 952,002.00 |
| Sep 30, 2023 | 737,241.00 |
| Jun 30, 2023 | 945,950.00 |
| Mar 31, 2023 | 925,743.00 |
| Dec 31, 2022 | 857,167.00 |
| Sep 30, 2022 | 863,233.00 |
| Jun 30, 2022 | 1.03 Mn |
| Mar 31, 2022 | 907,309.00 |
| Dec 31, 2021 | 977,575.00 |
| Sep 30, 2021 | 945,115.00 |
Xenetic Biosciences Selling, General & Administrative 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=selling-general-and-administrative&ticker=XBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=XBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();