Sypris Solutions (SYPR) Operating Expenses (2010 - 2026)
Sypris Solutions (SYPR) posted Operating Expenses of $4.44 million for Q2 2026, up 10.2% from $4.03 million a year earlier and up 0.3% from the prior quarter.
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Analysis
Sypris Solutions (SYPR) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, Operating Expenses at Sypris Solutions was $17.34 million, up 9.4% year-over-year; for FY2025, it was $16 million, down 5.7% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In prior years, Sypris Solutions' Operating Expenses was $16.96 million in FY2024 (+4.2%), $16.28 million in FY2023 (+12.4%), $14.49 million in FY2022 (+15.0%) and $12.6 million in FY2021 (+4.2%).
- Quarterly Operating Expenses has run from a low of $3.01 million in Q3 2021 to a high of $4.69 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 0.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2026, with growth of 26.5%; the weakest was Q1 2025, with a decline of 17.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $4.42 million (Q1 2026), $4.69 million (Q4 2025) and $3.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Sypris Solutions | 40.76 Mn | 40.76 Mn | 1.98 Mn | 4.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 4.44 Mn |
| Apr 5, 2026 | 4.42 Mn |
| Dec 31, 2025 | 4.69 Mn |
| Sep 28, 2025 | 3.79 Mn |
| Jun 29, 2025 | 4.03 Mn |
| Mar 30, 2025 | 3.50 Mn |
| Dec 31, 2024 | 4.09 Mn |
| Sep 29, 2024 | 4.25 Mn |
| Jun 30, 2024 | 4.37 Mn |
| Mar 31, 2024 | 4.26 Mn |
| Dec 31, 2023 | 4.66 Mn |
| Oct 1, 2023 | 4.17 Mn |
| Jul 2, 2023 | 3.70 Mn |
| Apr 2, 2023 | 3.75 Mn |
| Dec 31, 2022 | 3.79 Mn |
| Oct 2, 2022 | 3.57 Mn |
| Jul 3, 2022 | 3.74 Mn |
| Apr 3, 2022 | 3.39 Mn |
| Dec 31, 2021 | 3.29 Mn |
| Oct 3, 2021 | 3.01 Mn |
API Access
Sypris Solutions Operating Expenses 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=operating-expenses&ticker=SYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();