Sypris Solutions (SYPR) Total Non-Current Liabilities (2010 - 2026)
Sypris Solutions (SYPR) recorded Total Non-Current Liabilities of $83.48 million in Q2 2026, up 10.0% from $75.92 million a year earlier but down 4.0% from the prior quarter.
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Analysis
Sypris Solutions (SYPR) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Sypris Solutions reported Total Non-Current Liabilities of $85.9 million, down 7.9% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $93.29 million in FY2024 (-5.6%), $98.79 million in FY2023 (+47.2%), $67.1 million in FY2022 (+35.0%) and $49.69 million in FY2021 (+30.9%).
- Quarterly Total Non-Current Liabilities has ranged from $44.97 million in Q3 2021 to $102.15 million in Q1 2024 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in two of the last eight quarters, with an average decline of 7.0%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 78.7% in Q3 2023, against a decline of 17.2% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $86.97 million (Q1 2026), $85.9 million (Q4 2025) and $76.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Sypris Solutions | 40.76 Mn | 40.76 Mn | 1.98 Mn | 83.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 83.48 Mn |
| Apr 5, 2026 | 86.97 Mn |
| Dec 31, 2025 | 85.90 Mn |
| Sep 28, 2025 | 76.40 Mn |
| Jun 29, 2025 | 75.92 Mn |
| Mar 30, 2025 | 85.77 Mn |
| Dec 31, 2024 | 93.29 Mn |
| Sep 29, 2024 | 91.44 Mn |
| Jun 30, 2024 | 91.70 Mn |
| Mar 31, 2024 | 102.15 Mn |
| Dec 31, 2023 | 98.79 Mn |
| Oct 1, 2023 | 95.16 Mn |
| Jul 2, 2023 | 90.24 Mn |
| Apr 2, 2023 | 72.66 Mn |
| Dec 31, 2022 | 67.10 Mn |
| Oct 2, 2022 | 53.25 Mn |
| Jul 3, 2022 | 50.84 Mn |
| Apr 3, 2022 | 49.90 Mn |
| Dec 31, 2021 | 49.69 Mn |
| Oct 3, 2021 | 44.97 Mn |
API Access
Sypris Solutions Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();