Sypris Solutions (SYPR) Shares Outstanding (Entity) (2010 - 2026)
Sypris Solutions' Shares Outstanding (Entity) came in at 23.03 million for Q2 2026, unchanged from 23.03 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Sypris Solutions (SYPR) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
Going back to Q2 2010, Sypris Solutions' Shares Outstanding (Entity) data covers 64 quarters.
- Shares Outstanding (Entity) carries a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 23.02 million in FY2024 (+2.7%), 22.4 million in FY2023 (+0.9%), 22.2 million in FY2022 (+1.4%) and 21.88 million in FY2021 (+2.7%).
- The five-year range for quarterly Shares Outstanding (Entity) is 21.74 million (Q3 2021) to 23.03 million (Q4 2025).
- Year-over-year, Shares Outstanding (Entity) increased in five of the last eight quarters, with growth averaging 0.8%.
- Over the past five years, the year-over-year growth in Shares Outstanding (Entity) ranged from 0.0% (Q2 2026) to 3.2% (Q1 2022).
- Business Quant data shows SYPR's Shares Outstanding (Entity) at 23.01 million (Q1 2026), 23.03 million (Q4 2025) and 23.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 459.70 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.47 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 269.63 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 388.40 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 126.05 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 384.94 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 557.80 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 515.72 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 284.80 Mn |
| 10 | Sypris Solutions | 40.76 Mn | 40.76 Mn | 1.98 Mn | 23.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 23.03 Mn |
| Apr 5, 2026 | 23.01 Mn |
| Dec 31, 2025 | 23.03 Mn |
| Sep 28, 2025 | 23.03 Mn |
| Jun 29, 2025 | 23.03 Mn |
| Mar 30, 2025 | 22.98 Mn |
| Dec 31, 2024 | 23.02 Mn |
| Sep 29, 2024 | 23.02 Mn |
| Jun 30, 2024 | 22.97 Mn |
| Mar 31, 2024 | 22.77 Mn |
| Dec 31, 2023 | 22.40 Mn |
| Oct 1, 2023 | 22.45 Mn |
| Jul 2, 2023 | 22.41 Mn |
| Apr 2, 2023 | 22.38 Mn |
| Dec 31, 2022 | 22.20 Mn |
| Oct 2, 2022 | 22.15 Mn |
| Jul 3, 2022 | 22.13 Mn |
| Apr 3, 2022 | 22.12 Mn |
| Dec 31, 2021 | 21.88 Mn |
| Oct 3, 2021 | 21.74 Mn |
API Access
Sypris Solutions Shares Outstanding (Entity) 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-entity&ticker=SYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=SYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();