Stratasys (SSYS) Non Operating Interest Expenses (2013 - 2023)
Stratasys (SSYS) posted Non Operating Interest Expenses of -$16,000 for Q4 2023.
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Analysis
Stratasys (SSYS) Non Operating Interest Expenses (2013 - 2023) Analysis & Trends
Since Q4 2013, Stratasys has reported Non Operating Interest Expenses for 9 quarters.
- In prior years, Stratasys' Non Operating Interest Expenses was $406,000 in FY2022.
- The Q4 2023 figure stands as the highest quarterly Non Operating Interest Expenses since Q2 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 339.52 Bn | 311.22 Bn | 7.76 Bn | 135.00 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 | 710.00 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 Non Operating 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=non-operating-interest-expenses&ticker=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();