Xeris Biopharma Holdings (XERS) Selling, General & Administrative (2020 - 2026)
Xeris Biopharma Holdings (XERS) reported Selling, General & Administrative of $61.04 million for Q2 2026, up 37.5% from $44.39 million a year earlier and up 14.8% from the prior quarter.
Xeris Biopharma Holdings (XERS) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Xeris Biopharma Holdings' Selling, General & Administrative came in at $208.14 million, up 20.0% year-over-year; for FY2025, it was $182.37 million, up 11.6% from FY2024.
- Selling, General & Administrative has increased for five consecutive years, with a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $163.48 million in FY2024 (+11.9%), $146.1 million in FY2023 (+6.1%), $137.75 million in FY2022 (+9.6%) and $125.72 million in FY2021 (+70.5%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q3 2020.
- Year over year, Selling, General & Administrative has now increased in each of the last 13 quarters, with growth averaging 16.6% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2021 (growth of 201.0%); the low point was Q4 2022 (a decline of 36.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $53.14 million (Q1 2026), $47.5 million (Q4 2025) and $46.46 million (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 | Xeris Biopharma Holdings | 1.58 Bn | 1.14 Bn | 79.59 Mn | 61.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.04 Mn |
| Mar 31, 2026 | 53.14 Mn |
| Dec 31, 2025 | 47.50 Mn |
| Sep 30, 2025 | 46.46 Mn |
| Jun 30, 2025 | 44.39 Mn |
| Mar 31, 2025 | 44.02 Mn |
| Dec 31, 2024 | 40.14 Mn |
| Sep 30, 2024 | 44.97 Mn |
| Jun 30, 2024 | 39.99 Mn |
| Mar 31, 2024 | 38.38 Mn |
| Dec 31, 2023 | 37.57 Mn |
| Sep 30, 2023 | 37.29 Mn |
| Jun 30, 2023 | 37.64 Mn |
| Mar 31, 2023 | 33.61 Mn |
| Dec 31, 2022 | 34.36 Mn |
| Sep 30, 2022 | 34.49 Mn |
| Jun 30, 2022 | 32.98 Mn |
| Mar 31, 2022 | 35.91 Mn |
| Dec 31, 2021 | 54.18 Mn |
| Sep 30, 2021 | 26.54 Mn |
Xeris Biopharma Holdings 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=XERS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "XERS", "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=XERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();