Sypris Solutions (SYPR) Revenue (2010 - 2026)
Sypris Solutions (SYPR) posted Revenue of $30.34 million for Q2 2026, down 3.5% from $31.43 million a year earlier but up 17.6% from the prior quarter.
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Analysis
Sypris Solutions (SYPR) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, Revenue at Sypris Solutions was $115.11 million, down 11.5% year-over-year; for FY2025, it was $119.89 million, down 14.5% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- In prior years, Sypris Solutions' Revenue was $140.18 million in FY2024 (+2.9%), $136.22 million in FY2023 (+23.7%), $110.12 million in FY2022 (+13.0%) and $97.43 million in FY2021 (+18.3%).
- Quarterly Revenue has run from a low of $25.2 million in Q3 2022 to a high of $35.66 million in Q3 2024 over five years.
- On a year-over-year basis, Revenue has declined in each of the last seven quarters, with an average decline of 8.9% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2023, with growth of 33.3%; the weakest was Q3 2025, with a decline of 19.6%.
- According to Business Quant data, Revenue for the three prior quarters was $25.81 million (Q1 2026), $30.28 million (Q4 2025) and $28.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.54 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 8.76 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 12.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 8.53 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 5.76 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 3.27 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 4.87 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 6.50 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 4.30 Bn |
| 10 | Sypris Solutions | 40.76 Mn | 40.76 Mn | 1.98 Mn | 30.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 30.34 Mn |
| Apr 5, 2026 | 25.81 Mn |
| Dec 31, 2025 | 30.28 Mn |
| Sep 28, 2025 | 28.67 Mn |
| Jun 29, 2025 | 31.43 Mn |
| Mar 30, 2025 | 29.51 Mn |
| Dec 31, 2024 | 33.45 Mn |
| Sep 29, 2024 | 35.66 Mn |
| Jun 30, 2024 | 35.52 Mn |
| Mar 31, 2024 | 35.55 Mn |
| Dec 31, 2023 | 34.74 Mn |
| Oct 1, 2023 | 33.58 Mn |
| Jul 2, 2023 | 35.62 Mn |
| Apr 2, 2023 | 32.29 Mn |
| Dec 31, 2022 | 29.71 Mn |
| Oct 2, 2022 | 25.20 Mn |
| Jul 3, 2022 | 29.04 Mn |
| Apr 3, 2022 | 26.17 Mn |
| Dec 31, 2021 | 25.80 Mn |
| Oct 3, 2021 | 25.68 Mn |
API Access
Sypris Solutions Revenue 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=revenue&ticker=SYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();