Xencor (XNCR) Return on Sales [ROS] (2013 - 2026)
Xencor's Return on Sales [ROS] was -72.37% in Q2 2026, up 3.70 percentage points from -76.07% a year earlier and up 1651.77 percentage points from the prior quarter.
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Analysis
Xencor (XNCR) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Xencor's Return on Sales [ROS] was -205.84% through Jun 30, 2026, down 107.34 percentage points year-over-year; for FY2025, it came in at -141.35%, up 20.12 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -78.76 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -161.47% in FY2024 (-85.66 pp), -75.80% in FY2023 (-25.70 pp), -50.11% in FY2022 (-66.01 pp) and 15.91% in FY2021 (+78.50 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q4 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in five of the last eight quarters, with an average year-over-year change of -194.36 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2025 (a gain of 209.78 percentage points); the worst was Q1 2026 (a drop of 1592.21 percentage points).
- Per Business Quant data, XNCR's Return on Sales [ROS] in the three quarters before Q2 2026 was -1724.14% (Q1 2026), -189.92% (Q4 2025) and -226.29% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Xencor | 2.94 Bn | 1.37 Bn | - | 19.62% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.62% |
| Jun 30, 2026 | -72.37% |
| Mar 31, 2026 | -1,724.14% |
| Dec 31, 2025 | -189.92% |
| Sep 30, 2025 | -226.29% |
| Jun 30, 2025 | -76.07% |
| Mar 31, 2025 | -131.93% |
| Dec 31, 2024 | -24.96% |
| Sep 30, 2024 | -310.17% |
| Jun 30, 2024 | -231.61% |
| Mar 31, 2024 | -341.71% |
| Dec 31, 2023 | -53.67% |
| Sep 30, 2023 | -30.86% |
| Jun 30, 2023 | -57.11% |
| Mar 31, 2023 | -319.71% |
| Dec 31, 2022 | -197.19% |
| Sep 30, 2022 | -140.47% |
| Jun 30, 2022 | -92.72% |
| Mar 31, 2022 | 30.95% |
| Dec 31, 2021 | 59.51% |
API Access
Xencor Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=XNCR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=XNCR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();