Stratasys (SSYS) Interest Expenses (2013 - 2023)
Stratasys (SSYS) posted Interest Expenses of -$16,000 for Q4 2023.
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Analysis
Stratasys (SSYS) Interest Expenses (2013 - 2023) Analysis & Trends
Since Q4 2013, Stratasys has reported Interest Expenses for 9 quarters.
- In prior years, Stratasys' Interest Expenses was $406,000 in FY2022.
- The Q4 2023 figure stands as the highest quarterly Interest Expenses since Q2 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 339.52 Bn | 311.22 Bn | 7.76 Bn | 497.00 Mn |
| 2 | Amphenol | 200.47 Bn | 195.05 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 175.47 Bn | 143.56 Bn | 4.66 Bn | 661.00 Mn |
| 4 | Eaton | 156.31 Bn | 153.50 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 121.55 Bn | 119.68 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Emerson Electric | 90.51 Bn | 83.25 Bn | 2.66 Bn | - |
| 7 | 3M | 85.92 Bn | 67.32 Bn | 2.68 Bn | - |
| 8 | Vertiv Holdings | 82.65 Bn | 73.27 Bn | 1.23 Bn | 17.40 Mn |
| 9 | Illinois Tool Works | 77.64 Bn | 74.20 Bn | 1.90 Bn | 79.00 Mn |
| 10 | Stratasys | 582.23 Mn | -367.58 Mn | 58.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -16,000.00 |
| Mar 31, 2022 | -1.36 Mn |
| Mar 31, 2021 | -377,000.00 |
| Mar 31, 2020 | -829,000.00 |
| Mar 31, 2017 | 523,000.00 |
| Sep 30, 2016 | 37,000.00 |
| Jun 30, 2016 | -539,000.00 |
| Mar 31, 2016 | 931,000.00 |
| Dec 31, 2015 | -11.45 Mn |
| Sep 30, 2015 | -474,000.00 |
| Jun 30, 2015 | 1.26 Mn |
| Mar 31, 2015 | 380,000.00 |
| Dec 31, 2014 | -4.15 Mn |
| Sep 30, 2014 | -1.38 Mn |
| Jun 30, 2014 | 337,000.00 |
| Mar 31, 2014 | -1.34 Mn |
| Dec 31, 2013 | -638,000.00 |
| Sep 30, 2013 | 188,000.00 |
API Access
Stratasys 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=interest-expenses&ticker=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "SSYS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();