Sypris Solutions (SYPR) Total Liabilities (2010 - 2026)
Sypris Solutions (SYPR) posted Total Liabilities of $93.49 million for Q2 2026, up 7.3% from $87.16 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Sypris Solutions (SYPR) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Sypris Solutions' Total Liabilities came in at $90.02 million, down 9.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- In prior years, Sypris Solutions' Total Liabilities was $99.8 million in FY2024 (-6.6%), $106.88 million in FY2023 (+26.4%), $84.57 million in FY2022 (+40.4%) and $60.22 million in FY2021 (+31.1%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q4 2024.
- On a year-over-year basis, Total Liabilities increased in two of the last eight quarters, with an average decline of 7.1%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2023, with growth of 93.2%; the weakest was Q2 2025, with a decline of 17.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $91.4 million (Q1 2026), $90.02 million (Q4 2025) and $92.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Sypris Solutions | 40.76 Mn | 40.76 Mn | 1.98 Mn | 93.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 93.49 Mn |
| Apr 5, 2026 | 91.40 Mn |
| Dec 31, 2025 | 90.02 Mn |
| Sep 28, 2025 | 92.51 Mn |
| Jun 29, 2025 | 87.16 Mn |
| Mar 30, 2025 | 91.23 Mn |
| Dec 31, 2024 | 99.80 Mn |
| Sep 29, 2024 | 103.44 Mn |
| Jun 30, 2024 | 105.23 Mn |
| Mar 31, 2024 | 108.20 Mn |
| Dec 31, 2023 | 106.88 Mn |
| Oct 1, 2023 | 108.48 Mn |
| Jul 2, 2023 | 109.59 Mn |
| Apr 2, 2023 | 95.45 Mn |
| Dec 31, 2022 | 84.57 Mn |
| Oct 2, 2022 | 74.59 Mn |
| Jul 3, 2022 | 56.72 Mn |
| Apr 3, 2022 | 60.52 Mn |
| Dec 31, 2021 | 60.22 Mn |
| Oct 3, 2021 | 59.85 Mn |
API Access
Sypris Solutions Total 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-liabilities&ticker=SYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();