Sypris Solutions (SYPR) Return on Sales [ROS] (2010 - 2026)
Sypris Solutions (SYPR) posted Return on Sales [ROS] of -8.09% for Q2 2026, down 3.51 percentage points from -4.59% a year earlier but up 5.86 percentage points from the prior quarter.
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Analysis
Sypris Solutions (SYPR) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, Return on Sales [ROS] at Sypris Solutions was -9.64%, down 10.76 percentage points year-over-year; for FY2025, it was -5.51%, down 7.60 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -5.62 percentage points (FY2020 to FY2025).
- In prior years, Sypris Solutions' Return on Sales [ROS] was 2.09% in FY2024 (+1.38 pp), 0.71% in FY2023 (+0.38 pp), 0.33% in FY2022 (-1.63 pp) and 1.96% in FY2021 (+1.85 pp).
- Quarterly Return on Sales [ROS] has run from a low of -13.96% in Q1 2026 to a high of 4.85% in Q3 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last five quarters, with an average year-over-year change of -4.69 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2022, with a gain of 9.62 percentage points; the weakest was Q4 2025, with a drop of 14.77 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -13.96% (Q1 2026), -10.89% (Q4 2025) and -6.06% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 26.67% |
| 10 | Sypris Solutions | 41.45 Mn | 41.45 Mn | 1.98 Mn | -8.09% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | -8.09% |
| Apr 5, 2026 | -13.96% |
| Dec 31, 2025 | -10.89% |
| Sep 28, 2025 | -6.06% |
| Jun 29, 2025 | -4.59% |
| Mar 30, 2025 | -0.44% |
| Dec 31, 2024 | 3.88% |
| Sep 29, 2024 | 4.85% |
| Jun 30, 2024 | 3.58% |
| Mar 31, 2024 | -3.86% |
| Dec 31, 2023 | -0.81% |
| Oct 1, 2023 | -0.39% |
| Jul 2, 2023 | 2.71% |
| Apr 2, 2023 | 1.29% |
| Dec 31, 2022 | 2.71% |
| Oct 2, 2022 | -6.36% |
| Jul 3, 2022 | 0.15% |
| Apr 3, 2022 | 4.28% |
| Dec 31, 2021 | 4.31% |
| Oct 3, 2021 | 3.78% |
API Access
Sypris Solutions 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=SYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SYPR", "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=SYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();