Sypris Solutions (SYPR) Cost of Revenue (2010 - 2026)
Sypris Solutions (SYPR) reported Cost of Revenue of $28.36 million for Q2 2026, down 1.7% from $28.84 million a year earlier but up 13.5% from the prior quarter.
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Analysis
Sypris Solutions (SYPR) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 5, 2026, Sypris Solutions' Cost of Revenue came in at $108.86 million, down 3.4% year-over-year; for FY2025, it came in at $110.49 million, down 8.1% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $120.29 million in FY2024 (+1.1%), $118.98 million in FY2023 (+24.9%), $95.27 million in FY2022 (+14.9%) and $82.93 million in FY2021 (+18.0%).
- Five-year quarterly Cost of Revenue spans a low of $21.4 million in Q4 2021 and a high of $32.67 million in Q1 2024.
- Year over year, Cost of Revenue gained in two of the last eight quarters, with an average decline of 5.5%.
- The high point for year-over-year Cost of Revenue in five years was Q1 2023 (growth of 29.9%); the low point was Q1 2025 (a decline of 20.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $24.99 million (Q1 2026), $28.88 million (Q4 2025) and $26.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Sypris Solutions | 41.45 Mn | 41.45 Mn | 1.98 Mn | 28.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 28.36 Mn |
| Apr 5, 2026 | 24.99 Mn |
| Dec 31, 2025 | 28.88 Mn |
| Sep 28, 2025 | 26.62 Mn |
| Jun 29, 2025 | 28.84 Mn |
| Mar 30, 2025 | 26.14 Mn |
| Dec 31, 2024 | 28.06 Mn |
| Sep 29, 2024 | 29.68 Mn |
| Jun 30, 2024 | 29.88 Mn |
| Mar 31, 2024 | 32.67 Mn |
| Dec 31, 2023 | 30.36 Mn |
| Oct 1, 2023 | 29.54 Mn |
| Jul 2, 2023 | 30.95 Mn |
| Apr 2, 2023 | 28.13 Mn |
| Dec 31, 2022 | 25.12 Mn |
| Oct 2, 2022 | 23.23 Mn |
| Jul 3, 2022 | 25.26 Mn |
| Apr 3, 2022 | 21.66 Mn |
| Dec 31, 2021 | 21.40 Mn |
| Oct 3, 2021 | 21.71 Mn |
API Access
Sypris Solutions Cost of Revenue 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=cost-of-revenue&ticker=SYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();