Jaguar Health (JAGX) Return on Sales [ROS] (2015 - 2026)
Jaguar Health's Return on Sales [ROS] was -620.16% in Q2 2026, down 351.38 percentage points from -268.78% a year earlier and down 670.39 percentage points from the prior quarter.
Jaguar Health (JAGX) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jaguar Health's Return on Sales [ROS] was -93.10% through Jun 30, 2026, up 185.03 percentage points year-over-year; for FY2025, it came in at -398.82%, down 135.06 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -114.89 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -263.76% in FY2024 (+87.55 pp), -351.31% in FY2023 (-63.46 pp), -287.85% in FY2022 (+651.21 pp) and -939.05% in FY2021 (-655.12 pp).
- Quarterly Return on Sales [ROS] has moved between -1512.54% (Q3 2021) and 50.23% (Q1 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -25.81 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2022 (a gain of 2785.98 percentage points); the worst was Q3 2021 (a drop of 1318.71 percentage points).
- Per Business Quant data, JAGX's Return on Sales [ROS] in the three quarters before Q2 2026 was 50.23% (Q1 2026), -656.63% (Q4 2025) and -234.77% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Jaguar Health | 585,790.33 | -16.67 Mn | 194,000.00 | -620.16% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -620.16% |
| Mar 31, 2026 | 50.23% |
| Dec 31, 2025 | -656.63% |
| Sep 30, 2025 | -234.77% |
| Jun 30, 2025 | -268.78% |
| Mar 31, 2025 | -425.52% |
| Dec 31, 2024 | -232.46% |
| Sep 30, 2024 | -233.66% |
| Jun 30, 2024 | -264.50% |
| Mar 31, 2024 | -349.43% |
| Dec 31, 2023 | -328.57% |
| Sep 30, 2023 | -312.37% |
| Jun 30, 2023 | -302.77% |
| Mar 31, 2023 | -499.24% |
| Dec 31, 2022 | -192.82% |
| Sep 30, 2022 | -314.16% |
| Jun 30, 2022 | -221.81% |
| Mar 31, 2022 | -447.77% |
| Dec 31, 2021 | -520.29% |
| Sep 30, 2021 | -1,512.54% |
Jaguar Health 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=JAGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "JAGX", "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=JAGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();