Yarrow Bioscience (YARW) Return on Sales [ROS] (2017 - 2026)
Yarrow Bioscience (YARW) reported Return on Sales [ROS] of -3102.00% for Q2 2026, up 4440.00 percentage points from -7542.00% a year earlier and up 714.00 percentage points from the prior quarter.
Yarrow Bioscience (YARW) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Yarrow Bioscience's Return on Sales [ROS] came in at -4712.55%, up 3689.82 percentage points year-over-year; for FY2025, it was -4958.17%, up 3751.81 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -3755.17 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -8709.98% in FY2024 (-1809.51 pp), -6900.47% in FY2023 (-41.47 pp), -6859.00% in FY2022 (-2679.52 pp) and -4179.48% in FY2021 (-2976.48 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q4 2020.
- Year over year, Return on Sales [ROS] gained in three of the last six quarters, with an average year-over-year change of -983.92 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2023 (a gain of 18541.56 percentage points); the low point was Q4 2022 (a drop of 24290.74 percentage points).
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 | Yarrow Bioscience | 19.11 Mn | -97.40 Mn | - | -3,102.00% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3,102.00% |
| Mar 31, 2026 | -3,816.00% |
| Jun 30, 2025 | -7,542.00% |
| Mar 31, 2025 | -4,552.97% |
| Dec 31, 2024 | -15,202.38% |
| Sep 30, 2024 | -10,819.01% |
| Jun 30, 2024 | -5,198.00% |
| Mar 31, 2024 | -7,380.00% |
| Dec 31, 2023 | -8,989.47% |
| Sep 30, 2023 | -5,468.42% |
| Jun 30, 2023 | -7,642.96% |
| Mar 31, 2023 | -5,875.00% |
| Dec 31, 2022 | -27,531.03% |
| Sep 30, 2022 | -5,588.62% |
| Jun 30, 2022 | -6,576.98% |
| Mar 31, 2022 | -4,882.58% |
| Dec 31, 2021 | -3,240.29% |
| Sep 30, 2021 | -8,095.49% |
| Jun 30, 2021 | -3,234.58% |
| Mar 31, 2021 | -4,242.17% |
Yarrow Bioscience 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=YARW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "YARW", "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=YARW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();