Sypris Solutions (SYPR) Non Operating Interest Expenses (2010 - 2026)
Sypris Solutions (SYPR) posted Non Operating Interest Expenses of $502,000 for Q2 2026, up 31.8% from $381,000 a year earlier but down 5.3% from the prior quarter.
Sypris Solutions (SYPR) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, Non Operating Interest Expenses at Sypris Solutions was $1.98 million, up 37.0% year-over-year; for FY2025, it was $1.63 million, down 3.1% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- In prior years, Sypris Solutions' Non Operating Interest Expenses was $1.68 million in FY2024 (+116.7%), $777,000 in FY2023 (-30.0%), $1.11 million in FY2022 (+27.9%) and $868,000 in FY2021 (+3.6%).
- Quarterly Non Operating Interest Expenses has run from a low of $127,000 in Q3 2023 to a high of $604,000 in Q2 2024 over five years.
- On a year-over-year basis, Non Operating Interest Expenses has increased in each of the last three quarters, with growth averaging 64.3% over the last eight quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q3 2024, with growth of 329.9%; the weakest was Q3 2023, with a decline of 53.5%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $530,000 (Q1 2026), $563,000 (Q4 2025) and $385,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 135.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 710.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 17.40 Mn |
| 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 | 79.00 Mn |
| 10 | Sypris Solutions | 40.76 Mn | 40.76 Mn | 1.98 Mn | 502,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 502,000.00 |
| Apr 5, 2026 | 530,000.00 |
| Dec 31, 2025 | 563,000.00 |
| Sep 28, 2025 | 385,000.00 |
| Jun 29, 2025 | 381,000.00 |
| Mar 30, 2025 | 302,000.00 |
| Dec 31, 2024 | 216,000.00 |
| Sep 29, 2024 | 546,000.00 |
| Jun 30, 2024 | 604,000.00 |
| Mar 31, 2024 | 318,000.00 |
| Dec 31, 2023 | 246,000.00 |
| Oct 1, 2023 | 127,000.00 |
| Jul 2, 2023 | 178,000.00 |
| Apr 2, 2023 | 226,000.00 |
| Dec 31, 2022 | 326,000.00 |
| Oct 2, 2022 | 273,000.00 |
| Jul 3, 2022 | 263,000.00 |
| Apr 3, 2022 | 248,000.00 |
| Dec 31, 2021 | 224,000.00 |
| Oct 3, 2021 | 211,000.00 |
Sypris Solutions Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=SYPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=SYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();