Sypris Solutions (SYPR) Selling, General & Administrative (2010 - 2026)
Sypris Solutions' Selling, General & Administrative was $4.44 million in Q2 2026, up 10.2% from $4.03 million a year earlier and up 0.3% from the prior quarter.
Sypris Solutions (SYPR) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sypris Solutions' Selling, General & Administrative was $17.34 million through Jul 5, 2026, up 9.4% year-over-year; for FY2025, it came in at $16 million, down 5.7% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative 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 (+5.3%).
- Quarterly Selling, General & Administrative has moved between $3.01 million (Q3 2021) and $4.69 million (Q4 2025) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for three straight quarters, with growth averaging 0.6% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q1 2026 (growth of 26.5%); the worst was Q1 2025 (a decline of 17.9%).
- Per Business Quant data, SYPR's Selling, General & Administrative in the three quarters before Q2 2026 was $4.42 million (Q1 2026), $4.69 million (Q4 2025) and $3.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 494.40 Mn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 1.06 Bn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | - |
| 10 | Sypris Solutions | 40.30 Mn | 40.30 Mn | 1.98 Mn | 4.44 Mn |
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 |
Sypris Solutions Selling, General & Administrative 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=selling-general-and-administrative&ticker=SYPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();