Silo Pharma (SILO) Return on Sales [ROS] (2019 - 2026)
Silo Pharma's Return on Sales [ROS] came in at -8250.46% for Q2 2026, down 1323.68 percentage points from -6926.77% a year earlier but up 595.99 percentage points from the prior quarter.
Silo Pharma (SILO) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
For FY2025, Silo Pharma's Return on Sales [ROS] was -5936.95%, up 589.49 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -556.80 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -6526.44% in FY2024 (-1179.03 pp), -5347.41% in FY2023 (-316.13 pp) and -5031.28% in FY2022.
- The five-year range for quarterly Return on Sales [ROS] is -10059.65% (Q4 2024) to -2742.22% (Q2 2022).
- Year-over-year, Return on Sales [ROS] increased in 1 of the last eight quarters, with an average year-over-year change of -832.43 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2025 (a gain of 5696.37 percentage points), and the weakest in Q4 2024 (a drop of 3603.84 percentage points).
- Business Quant data shows SILO's Return on Sales [ROS] at -8846.44% (Q1 2026), -4363.28% (Q4 2025) and -6388.16% (Q3 2025) in the three quarters before Q2 2026.
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 | Silo Pharma | 1.69 Mn | 1.69 Mn | - | -8,250.46% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8,250.46% |
| Mar 31, 2026 | -8,846.44% |
| Dec 31, 2025 | -4,363.28% |
| Sep 30, 2025 | -6,388.16% |
| Jun 30, 2025 | -6,926.77% |
| Mar 31, 2025 | -6,069.68% |
| Dec 31, 2024 | -10,059.65% |
| Sep 30, 2024 | -5,603.63% |
| Jun 30, 2024 | -5,563.24% |
| Mar 31, 2024 | -4,879.14% |
| Dec 31, 2023 | -6,455.81% |
| Sep 30, 2023 | -4,290.70% |
| Jun 30, 2023 | -6,185.77% |
| Mar 31, 2023 | -4,457.37% |
| Dec 31, 2022 | -9,192.04% |
| Sep 30, 2022 | -5,265.76% |
| Jun 30, 2022 | -2,742.22% |
| Jun 30, 2021 | -641.62% |
| Mar 31, 2021 | -1,899.81% |
| Dec 31, 2020 | -2,673.43% |
Silo Pharma 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=SILO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SILO", "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=SILO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();