Sypris Solutions (SYPR) Total Current Liabilities (2010 - 2026)
Sypris Solutions' Total Current Liabilities was $61.92 million in Q2 2026, up 0.2% from $61.81 million a year earlier but down 4.7% from the prior quarter.
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Analysis
Sypris Solutions (SYPR) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Sypris Solutions came in at $62.37 million, down 21.5% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 24.0% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $79.46 million in FY2024 (-8.1%), $86.48 million in FY2023 (+54.1%), $56.12 million in FY2022 (+65.1%) and $33.99 million in FY2021 (+60.0%).
- Quarterly Total Current Liabilities has moved between $33.37 million (Q3 2021) and $88.46 million (Q1 2024) over five years.
- Compared with a year earlier, Total Current Liabilities was higher in 1 of the last eight quarters, with an average decline of 14.6%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2023 (growth of 110.2%); the worst was Q3 2025 (a decline of 30.5%).
- Per Business Quant data, SYPR's Total Current Liabilities in the three quarters before Q2 2026 was $64.97 million (Q1 2026), $62.37 million (Q4 2025) and $54.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Sypris Solutions | 40.76 Mn | 40.76 Mn | 1.98 Mn | 61.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 61.92 Mn |
| Apr 5, 2026 | 64.97 Mn |
| Dec 31, 2025 | 62.37 Mn |
| Sep 28, 2025 | 54.74 Mn |
| Jun 29, 2025 | 61.81 Mn |
| Mar 30, 2025 | 69.48 Mn |
| Dec 31, 2024 | 79.46 Mn |
| Sep 29, 2024 | 78.81 Mn |
| Jun 30, 2024 | 78.57 Mn |
| Mar 31, 2024 | 88.46 Mn |
| Dec 31, 2023 | 86.48 Mn |
| Oct 1, 2023 | 85.02 Mn |
| Jul 2, 2023 | 81.76 Mn |
| Apr 2, 2023 | 63.43 Mn |
| Dec 31, 2022 | 56.12 Mn |
| Oct 2, 2022 | 41.70 Mn |
| Jul 3, 2022 | 38.90 Mn |
| Apr 3, 2022 | 37.32 Mn |
| Dec 31, 2021 | 33.99 Mn |
| Oct 3, 2021 | 33.37 Mn |
API Access
Sypris Solutions Total 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-current-liabilities&ticker=SYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();