Sypris Solutions (SYPR) Operating Leases (2019 - 2026)
Sypris Solutions' Operating Leases came in at $6.16 million for Q2 2026, up 120.1% from $2.8 million a year earlier but down 4.0% from the prior quarter.
Sypris Solutions (SYPR) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Sypris Solutions' Operating Leases was $6.67 million, up 105.3% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Going back by year, Operating Leases was $3.25 million in FY2024 (+23.1%), $2.64 million in FY2023 (-28.8%), $3.71 million in FY2022 (-23.9%) and $4.88 million in FY2021 (-17.9%).
- The five-year range for quarterly Operating Leases is $2.64 million (Q4 2023) to $6.92 million (Q3 2025).
- Year-over-year, Operating Leases has increased for four consecutive quarters, with growth averaging 54.4% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in Q2 2026 (growth of 120.1%), and the weakest in Q4 2023 (a decline of 28.8%).
- Business Quant data shows SYPR's Operating Leases at $6.42 million (Q1 2026), $6.67 million (Q4 2025) and $6.92 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 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 |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 6.16 Mn |
| Apr 5, 2026 | 6.42 Mn |
| Dec 31, 2025 | 6.67 Mn |
| Sep 28, 2025 | 6.92 Mn |
| Jun 29, 2025 | 2.80 Mn |
| Mar 30, 2025 | 3.01 Mn |
| Dec 31, 2024 | 3.25 Mn |
| Sep 29, 2024 | 3.55 Mn |
| Jun 30, 2024 | 3.57 Mn |
| Mar 31, 2024 | 3.87 Mn |
| Dec 31, 2023 | 2.64 Mn |
| Oct 1, 2023 | 2.89 Mn |
| Jul 2, 2023 | 3.13 Mn |
| Apr 2, 2023 | 3.40 Mn |
| Dec 31, 2022 | 3.71 Mn |
| Oct 2, 2022 | 4.01 Mn |
| Jul 3, 2022 | 4.31 Mn |
| Apr 3, 2022 | 4.60 Mn |
| Dec 31, 2021 | 4.88 Mn |
| Oct 3, 2021 | 5.15 Mn |
Sypris Solutions Operating Leases 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-leases&ticker=SYPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=SYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();