Stratasys (SSYS) Non Operating Interest Expenses (2013 - 2023)
Stratasys (SSYS) posted Non Operating Interest Expenses of -$16,000 for Q4 2023.
Powered by 
Analysis
Stratasys (SSYS) Non Operating Interest Expenses (2013 - 2023) Analysis & Trends
For the trailing twelve months through Dec 31, 2023, Non Operating Interest Expenses at Stratasys was -$2.58 million; for FY2022, it came in at $406,000.
- The Q4 2023 figure stands as the highest quarterly Non Operating Interest Expenses since Q1 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 255.56 Bn | 227.26 Bn | 7.76 Bn | 135.00 Mn |
| 2 | Deere | 179.70 Bn | 147.79 Bn | 4.66 Bn | 710.00 Mn |
| 3 | Amphenol | 177.67 Bn | 172.37 Bn | 4.02 Bn | 212.30 Mn |
| 4 | Eaton | 127.13 Bn | 124.07 Bn | 3.11 Bn | 198.00 Mn |
| 5 | Parker-Hannifin | 113.68 Bn | 111.80 Bn | 2.25 Bn | 95.00 Mn |
| 6 | 3M | 97.60 Bn | 79.05 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 91.05 Bn | 83.78 Bn | 2.66 Bn | - |
| 8 | Illinois Tool Works | 81.41 Bn | 78.08 Bn | 1.91 Bn | 83.00 Mn |
| 9 | Vertiv Holdings | 68.19 Bn | 57.04 Bn | 1.64 Bn | 6.40 Mn |
| 10 | Stratasys | 499.81 Mn | -450.00 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();