Stratasys (SSYS) Interest Expenses (2013 - 2023)
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Analysis
Stratasys (SSYS) Interest Expenses (2013 - 2023) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 255.56 Bn | 227.26 Bn | 7.76 Bn | 497.00 Mn |
| 2 | Deere | 179.70 Bn | 147.79 Bn | 4.66 Bn | 661.00 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 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();