Geron (GERN) Return on Sales [ROS] (2010 - 2026)
Geron's Return on Sales [ROS] came in at -21.74% for Q2 2026, up 3.66 percentage points from -25.40% a year earlier but down 22.04 percentage points from the prior quarter.
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Analysis
Geron (GERN) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Geron reported Return on Sales [ROS] of -21.23%, up 22.54 percentage points year-over-year; for FY2025, it came in at -30.74%, up 163.55 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +30369.66 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -194.29% in FY2024 (+81638.62 pp), -81832.91% in FY2023 (-58586.27 pp), -23246.64% in FY2022 (-15062.94 pp) and -8183.70% in FY2021 (+22216.69 pp).
- The five-year range for quarterly Return on Sales [ROS] is -236039.13% (Q4 2023) to 0.30% (Q1 2026).
- Year-over-year, Return on Sales [ROS] has increased for ten consecutive quarters, with an average year-over-year change of +36414.59 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2024 (a gain of 236005.69 percentage points), and the weakest in Q4 2023 (a drop of 195310.00 percentage points).
- Business Quant data shows GERN's Return on Sales [ROS] at 0.30% (Q1 2026), -29.27% (Q4 2025) and -29.40% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,128.99 Bn | 1,097.58 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 634.51 Bn | 554.37 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 505.90 Bn | 479.01 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 357.53 Bn | 311.91 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 289.94 Bn | 253.93 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.41 Bn | 239.09 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 238.14 Bn | 193.54 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 194.79 Bn | 168.99 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn | 28.37% |
| 10 | Geron | 733.69 Mn | -618.01 Mn | - | -21.74% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -21.74% |
| Mar 31, 2026 | 0.30% |
| Dec 31, 2025 | -29.27% |
| Sep 30, 2025 | -29.40% |
| Jun 30, 2025 | -25.40% |
| Mar 31, 2025 | -42.18% |
| Dec 31, 2024 | -33.44% |
| Sep 30, 2024 | -99.80% |
| Jun 30, 2024 | -7,860.88% |
| Mar 31, 2024 | -18,465.13% |
| Dec 31, 2023 | -236,039.13% |
| Sep 30, 2023 | -29,031.71% |
| Jun 30, 2023 | -179,141.38% |
| Mar 31, 2023 | -190,914.29% |
| Dec 31, 2022 | -40,729.13% |
| Sep 30, 2022 | -13,450.51% |
| Jun 30, 2022 | -38,323.29% |
| Mar 31, 2022 | -23,313.01% |
| Dec 31, 2021 | -2,979.04% |
| Sep 30, 2021 | -23,554.13% |
API Access
Geron 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=GERN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GERN", "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=GERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();