Xilio Therapeutics (XLO) Research & Development (2020 - 2026)
Xilio Therapeutics (XLO) recorded Research & Development of $14.56 million in Q2 2026, down 5.0% from $15.33 million a year earlier and down 26.6% from the prior quarter.
Xilio Therapeutics (XLO) Research & Development (2020 - 2026) Analysis & Trends
On a TTM basis, Xilio Therapeutics' Research & Development came in at $66.83 million as of Jun 30, 2026, up 54.7% year-over-year; for FY2025, it came in at $56.04 million, up 36.0% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $41.21 million in FY2024 (-21.0%), $52.14 million in FY2023 (-11.9%), $59.2 million in FY2022 (+15.7%) and $51.19 million in FY2021 (+16.6%).
- Quarterly Research & Development has ranged from $8.27 million in Q1 2025 to $19.83 million in Q1 2026 over the past five years.
- On a year-over-year basis, Research & Development rose in four of the last eight quarters, with growth averaging 32.7%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 139.9% in Q1 2026, against a decline of 35.7% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $19.83 million (Q1 2026), $18.12 million (Q4 2025) and $14.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.25 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 2.57 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.54 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 3.89 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 2.11 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.61 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.02 Bn |
| 10 | Xilio Therapeutics | 167.94 Mn | -378.15 Mn | - | 14.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.81 Mn |
| Jun 30, 2026 | 14.56 Mn |
| Mar 31, 2026 | 19.83 Mn |
| Dec 31, 2025 | 18.12 Mn |
| Sep 30, 2025 | 14.32 Mn |
| Jun 30, 2025 | 15.33 Mn |
| Mar 31, 2025 | 8.27 Mn |
| Dec 31, 2024 | 8.84 Mn |
| Sep 30, 2024 | 10.76 Mn |
| Jun 30, 2024 | 11.22 Mn |
| Mar 31, 2024 | 10.40 Mn |
| Dec 31, 2023 | 11.74 Mn |
| Sep 30, 2023 | 11.05 Mn |
| Jun 30, 2023 | 13.22 Mn |
| Mar 31, 2023 | 16.13 Mn |
| Dec 31, 2022 | 15.00 Mn |
| Sep 30, 2022 | 13.04 Mn |
| Jun 30, 2022 | 16.25 Mn |
| Mar 31, 2022 | 14.92 Mn |
| Dec 31, 2021 | 11.35 Mn |
Xilio Therapeutics Research & Development 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=research-and-development&ticker=XLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=XLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();