Sypris Solutions (SYPR) Shares Outstanding (Diluted) (2010 - 2026)
Sypris Solutions' Shares Outstanding (Diluted) came in at 22.42 million for Q2 2026, up 0.6% from 22.29 million a year earlier and up 0.4% from the prior quarter.
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Analysis
Sypris Solutions (SYPR) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Sypris Solutions' Shares Outstanding (Diluted) was 22.27 million, up 1.0% from FY2024.
- Shares Outstanding (Diluted) has increased in each of the last three years, with a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 22.04 million in FY2024 (+0.8%), 21.88 million in FY2023 (+0.7%), 21.73 million in FY2022 (-5.5%) and 23 million in FY2021 (+9.1%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 21.72 million (Q2 2022) to 23 million (Q4 2021).
- Year-over-year, Shares Outstanding (Diluted) has increased for four consecutive quarters, with growth averaging 1.1% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q4 2021 (growth of 9.1%), and the weakest in Q4 2022 (a decline of 5.5%).
- Business Quant data shows SYPR's Shares Outstanding (Diluted) at 22.33 million (Q1 2026), 22.27 million (Q4 2025) and 22.86 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 128.10 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 392.75 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 561.10 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 522.40 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 287.00 Mn |
| 10 | Sypris Solutions | 40.76 Mn | 40.76 Mn | 1.98 Mn | 22.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 22.42 Mn |
| Apr 5, 2026 | 22.33 Mn |
| Dec 31, 2025 | 22.27 Mn |
| Sep 28, 2025 | 22.86 Mn |
| Jun 29, 2025 | 22.29 Mn |
| Mar 30, 2025 | 22.14 Mn |
| Dec 31, 2024 | 22.04 Mn |
| Sep 29, 2024 | 22.42 Mn |
| Jun 30, 2024 | 22.29 Mn |
| Mar 31, 2024 | 21.97 Mn |
| Dec 31, 2023 | 21.88 Mn |
| Oct 1, 2023 | 21.88 Mn |
| Jul 2, 2023 | 22.45 Mn |
| Apr 2, 2023 | 21.80 Mn |
| Dec 31, 2022 | 21.73 Mn |
| Oct 2, 2022 | 21.74 Mn |
| Jul 3, 2022 | 21.72 Mn |
| Apr 3, 2022 | 22.68 Mn |
| Dec 31, 2021 | 23.00 Mn |
| Oct 3, 2021 | 22.94 Mn |
API Access
Sypris Solutions Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=SYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=SYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();