Xencor (XNCR) Operating Expenses (2013 - 2026)
Xencor (XNCR) posted Operating Expenses of $88.29 million for Q2 2026, up 15.0% from $76.78 million a year earlier and up 7.2% from the prior quarter.
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Analysis
Xencor (XNCR) Operating Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Xencor was $321.05 million, up 10.1% year-over-year; for FY2025, it was $303.08 million, up 4.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- In prior years, Xencor's Operating Expenses was $288.9 million in FY2024 (-5.9%), $306.98 million in FY2023 (+24.3%), $247.05 million in FY2022 (+6.8%) and $231.34 million in FY2021 (+16.0%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2013.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 2.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2023, with growth of 32.7%; the weakest was Q4 2024, with a decline of 17.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $82.38 million (Q1 2026), $81.87 million (Q4 2025) and $68.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Xencor | 1.85 Bn | 270.30 Mn | - | 88.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.29 Mn |
| Mar 31, 2026 | 82.38 Mn |
| Dec 31, 2025 | 81.87 Mn |
| Sep 30, 2025 | 68.52 Mn |
| Jun 30, 2025 | 76.78 Mn |
| Mar 31, 2025 | 75.92 Mn |
| Dec 31, 2024 | 65.97 Mn |
| Sep 30, 2024 | 72.99 Mn |
| Jun 30, 2024 | 79.28 Mn |
| Mar 31, 2024 | 70.66 Mn |
| Dec 31, 2023 | 79.70 Mn |
| Sep 30, 2023 | 77.43 Mn |
| Jun 30, 2023 | 71.52 Mn |
| Mar 31, 2023 | 78.33 Mn |
| Dec 31, 2022 | 64.20 Mn |
| Sep 30, 2022 | 65.65 Mn |
| Jun 30, 2022 | 58.18 Mn |
| Mar 31, 2022 | 59.03 Mn |
| Dec 31, 2021 | 62.36 Mn |
| Sep 30, 2021 | 60.98 Mn |
API Access
Xencor Operating Expenses 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=operating-expenses&ticker=XNCR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=XNCR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();