Kyntra Bio (KYNB) Return on Sales [ROS] (2014 - 2026)
Kyntra Bio (KYNB) reported Return on Sales [ROS] of -1192.27% for Q2 2026, down 298.20 percentage points from -894.07% a year earlier and down 822.60 percentage points from the prior quarter.
Kyntra Bio (KYNB) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Kyntra Bio's Return on Sales [ROS] came in at -665.10%, up 448.54 percentage points year-over-year; for FY2025, it came in at -712.66%, down 204.85 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -603.83 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -507.80% in FY2024 (+181.73 pp), -689.53% in FY2023 (-475.63 pp), -213.90% in FY2022 (-91.28 pp) and -122.62% in FY2021 (-13.79 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q3 2024.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of +321.10 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2025 (a gain of 38271.10 percentage points); the low point was Q3 2024 (a drop of 38615.81 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -369.66% (Q1 2026), -1058.10% (Q4 2025) and -502.88% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,144.75 Bn | 1,113.34 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 635.80 Bn | 555.66 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 502.77 Bn | 475.88 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.48 Bn | 310.86 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 301.04 Bn | 265.03 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 264.46 Bn | 238.15 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 238.99 Bn | 194.39 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 194.94 Bn | 169.14 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 170.77 Bn | 117.42 Bn | 10.94 Bn | 28.37% |
| 10 | Kyntra Bio | 20.16 Mn | -387.78 Mn | 1.47 Mn | -1,192.27% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,192.27% |
| Mar 31, 2026 | -369.66% |
| Dec 31, 2025 | -1,058.10% |
| Sep 30, 2025 | -502.88% |
| Jun 30, 2025 | -894.07% |
| Mar 31, 2025 | -544.72% |
| Dec 31, 2024 | -227.53% |
| Sep 30, 2024 | -38,773.98% |
| Jun 30, 2024 | -4,650.10% |
| Mar 31, 2024 | -193.90% |
| Dec 31, 2023 | -689.53% |
| Sep 30, 2023 | -158.18% |
| Jun 30, 2023 | -198.67% |
| Mar 31, 2023 | -210.42% |
| Dec 31, 2022 | -192.49% |
| Sep 30, 2022 | -595.21% |
| Jun 30, 2022 | -262.44% |
| Mar 31, 2022 | -103.56% |
| Dec 31, 2021 | -817.51% |
| Sep 30, 2021 | 32.68% |
Kyntra Bio 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=KYNB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "KYNB", "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=KYNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();