Xilio Therapeutics (XLO) Selling, General & Administrative (2020 - 2026)
Xilio Therapeutics (XLO) posted Selling, General & Administrative of $7.62 million for Q2 2026, up 7.1% from $7.12 million a year earlier and up 10.0% from the prior quarter.
Xilio Therapeutics (XLO) Selling, General & Administrative (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Xilio Therapeutics was $28.63 million, up 0.6% year-over-year; for FY2025, it was $29.71 million, up 19.9% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 22.8% (FY2020 to FY2025).
- In prior years, Xilio Therapeutics' Selling, General & Administrative was $24.78 million in FY2024 (-8.2%), $27 million in FY2023 (-9.9%), $29.95 million in FY2022 (+25.5%) and $23.86 million in FY2021 (+123.9%).
- The Q2 2026 figure stands as the highest quarterly Selling, General & Administrative since Q1 2025.
- On a year-over-year basis, Selling, General & Administrative increased in six of the last eight quarters, with growth averaging 8.9%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2021, with growth of 180.2%; the weakest was Q4 2023, with a decline of 21.7%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $6.93 million (Q1 2026), $7.4 million (Q4 2025) and $6.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,140.21 Bn | 1,108.80 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 632.33 Bn | 552.19 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 500.02 Bn | 473.13 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 355.31 Bn | 309.69 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 300.67 Bn | 264.66 Bn | 11.24 Bn | 3.24 Bn |
| 6 | Astrazeneca | 263.56 Bn | 237.25 Bn | 12.86 Bn | 5.65 Bn |
| 7 | Amgen | 237.81 Bn | 193.20 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 194.42 Bn | 168.61 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 171.28 Bn | 117.93 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Xilio Therapeutics | 156.60 Mn | -371.07 Mn | - | 7.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.62 Mn |
| Mar 31, 2026 | 6.93 Mn |
| Dec 31, 2025 | 7.40 Mn |
| Sep 30, 2025 | 6.67 Mn |
| Jun 30, 2025 | 7.12 Mn |
| Mar 31, 2025 | 8.52 Mn |
| Dec 31, 2024 | 6.52 Mn |
| Sep 30, 2024 | 6.31 Mn |
| Jun 30, 2024 | 5.82 Mn |
| Mar 31, 2024 | 6.14 Mn |
| Dec 31, 2023 | 6.39 Mn |
| Sep 30, 2023 | 6.31 Mn |
| Jun 30, 2023 | 6.90 Mn |
| Mar 31, 2023 | 7.40 Mn |
| Dec 31, 2022 | 8.17 Mn |
| Sep 30, 2022 | 7.17 Mn |
| Jun 30, 2022 | 8.31 Mn |
| Mar 31, 2022 | 6.30 Mn |
| Dec 31, 2021 | 8.20 Mn |
| Sep 30, 2021 | 5.49 Mn |
Xilio Therapeutics 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=XLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "XLO", "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=XLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();