Viskase Holdings (VISK) Return on Sales [ROS] (2010 - 2026)
Viskase Holdings (VISK) posted Return on Sales [ROS] of -2.24% for Q2 2026, up 0.47 percentage points from -2.70% a year earlier and up 2.77 percentage points from the prior quarter.
Viskase Holdings (VISK) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Viskase Holdings was -2.48%, up 6.77 percentage points year-over-year; for FY2024, it came in at -5103.85%.
- Annual Return on Sales [ROS] shows a five-year change of -4633.80 percentage points (FY2019 to FY2024).
- In prior years, Viskase Holdings' Return on Sales [ROS] was -3969.23% in FY2022 (-3902.33 pp), -66.90% in FY2021 (+2442.71 pp) and -2509.62% in FY2020 (-2039.57 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q1 2021.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last four quarters, with an average year-over-year change of +142.40 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2021, with a gain of 4994.02 percentage points; the weakest was Q1 2023, with a drop of 3680.26 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Smurfit Westrock | 21.44 Bn | 18.34 Bn | 1.40 Bn | 3.85% |
| 2 | Packaging Corp Of America | 20.96 Bn | 18.50 Bn | 512.50 Mn | 11.70% |
| 3 | Amcor | 20.41 Bn | 15.82 Bn | 1.34 Bn | 10.10% |
| 4 | International Paper | 17.90 Bn | 13.80 Bn | 1.66 Bn | 11.14% |
| 5 | Ball | 17.00 Bn | 14.00 Bn | 697.00 Mn | 9.63% |
| 6 | Crown Holdings | 12.59 Bn | 9.41 Bn | 748.00 Mn | 12.65% |
| 7 | Sonoco Products | 4.96 Bn | 3.94 Bn | 392.38 Mn | 10.23% |
| 8 | Silgan Holdings | 4.24 Bn | 1.98 Bn | 294.88 Mn | 9.12% |
| 9 | Ardagh Metal Packaging | 2.76 Bn | -316,998.09 Bn | 238.00 Mn | 6.71% |
| 10 | Viskase Holdings | 58.04 Mn | -30.96 Mn | 11.10 Mn | -2.24% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.24% |
| Mar 31, 2026 | -5.01% |
| Jun 30, 2025 | -2.70% |
| Mar 31, 2025 | -15.29% |
| Dec 31, 2024 | -5,103.85% |
| Sep 30, 2024 | -4,684.62% |
| Jun 30, 2024 | -1,250.00% |
| Sep 30, 2023 | -3,996.15% |
| Jun 30, 2023 | -3,980.77% |
| Mar 31, 2023 | -3,923.08% |
| Dec 31, 2022 | -811.54% |
| Sep 30, 2022 | -3,627.59% |
| Jun 30, 2022 | -3,651.72% |
| Mar 31, 2022 | -242.81% |
| Dec 31, 2021 | -796.55% |
| Sep 30, 2021 | -93.48% |
| Jun 30, 2021 | -7.22% |
| Mar 31, 2021 | 2.89% |
| Dec 31, 2020 | -1,241.18% |
| Sep 30, 2020 | -5,087.50% |
Viskase Holdings 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=VISK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VISK", "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=VISK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();