Sypris Solutions (SYPR) Property, Plant & Equipment (Net) (2010 - 2026)
Sypris Solutions (SYPR) recorded Property, Plant & Equipment (Net) of $15.5 million in Q2 2026, up 20.2% from $12.89 million a year earlier but down 0.4% from the prior quarter.
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Analysis
Sypris Solutions (SYPR) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Sypris Solutions reported Property, Plant & Equipment (Net) of $16 million, up 20.3% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $13.3 million in FY2024 (-22.4%), $17.13 million in FY2023 (+10.3%), $15.53 million in FY2022 (+9.8%) and $14.14 million in FY2021 (+39.2%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $11.24 million in Q3 2021 to $17.52 million in Q2 2023 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for four consecutive quarters, with an average decline of 0.1% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 39.6% in Q1 2022, against a decline of 24.5% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $15.57 million (Q1 2026), $16 million (Q4 2025) and $15.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 1.18 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.88 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.24 Bn |
| 10 | Sypris Solutions | 41.45 Mn | 41.45 Mn | 1.98 Mn | 15.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 15.50 Mn |
| Apr 5, 2026 | 15.57 Mn |
| Dec 31, 2025 | 16.00 Mn |
| Sep 28, 2025 | 15.81 Mn |
| Jun 29, 2025 | 12.89 Mn |
| Mar 30, 2025 | 12.62 Mn |
| Dec 31, 2024 | 13.30 Mn |
| Sep 29, 2024 | 13.91 Mn |
| Jun 30, 2024 | 15.11 Mn |
| Mar 31, 2024 | 16.71 Mn |
| Dec 31, 2023 | 17.13 Mn |
| Oct 1, 2023 | 16.66 Mn |
| Jul 2, 2023 | 17.52 Mn |
| Apr 2, 2023 | 16.77 Mn |
| Dec 31, 2022 | 15.53 Mn |
| Oct 2, 2022 | 15.08 Mn |
| Jul 3, 2022 | 14.63 Mn |
| Apr 3, 2022 | 14.56 Mn |
| Dec 31, 2021 | 14.14 Mn |
| Oct 3, 2021 | 11.24 Mn |
API Access
Sypris Solutions Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();