Xencor (XNCR) Research & Development (2013 - 2026)
Xencor's Research & Development came in at $71.91 million for Q2 2026, up 16.6% from $61.67 million a year earlier and up 11.2% from the prior quarter.
Xencor (XNCR) Research & Development (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xencor reported Research & Development of $255.77 million, up 11.4% year-over-year; for FY2025, it came in at $239.43 million, up 5.2% from FY2024.
- Research & Development carries a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- Going back by year, Research & Development was $227.69 million in FY2024 (-10.2%), $253.6 million in FY2023 (+27.1%), $199.56 million in FY2022 (+3.7%) and $192.51 million in FY2021 (+13.4%).
- The Q2 2026 figure represents the highest quarterly Research & Development in data going back to Q1 2013.
- Year-over-year, Research & Development has increased for three consecutive quarters, with growth averaging 2.5% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q1 2023 (growth of 34.8%), and the weakest in Q4 2024 (a decline of 20.5%).
- Business Quant data shows XNCR's Research & Development at $64.67 million (Q1 2026), $64.82 million (Q4 2025) and $54.37 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Xencor | 1.86 Bn | 274.02 Mn | - | 71.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.91 Mn |
| Mar 31, 2026 | 64.67 Mn |
| Dec 31, 2025 | 64.82 Mn |
| Sep 30, 2025 | 54.37 Mn |
| Jun 30, 2025 | 61.67 Mn |
| Mar 31, 2025 | 58.58 Mn |
| Dec 31, 2024 | 51.06 Mn |
| Sep 30, 2024 | 58.23 Mn |
| Jun 30, 2024 | 61.53 Mn |
| Mar 31, 2024 | 56.87 Mn |
| Dec 31, 2023 | 64.22 Mn |
| Sep 30, 2023 | 64.94 Mn |
| Jun 30, 2023 | 60.06 Mn |
| Mar 31, 2023 | 64.38 Mn |
| Dec 31, 2022 | 51.45 Mn |
| Sep 30, 2022 | 53.27 Mn |
| Jun 30, 2022 | 47.08 Mn |
| Mar 31, 2022 | 47.76 Mn |
| Dec 31, 2021 | 50.99 Mn |
| Sep 30, 2021 | 50.61 Mn |
Xencor 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=XNCR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "XNCR", "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=XNCR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();