Stratasys (SSYS) Times Interest Earned (2013 - 2023)
Stratasys' Times Interest Earned came in at 354.63 for Q4 2023.
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Analysis
Stratasys (SSYS) Times Interest Earned (2013 - 2023) Analysis & Trends
For FY2023, Stratasys' Times Interest Earned was -5473.75.
- Going back by year, Times Interest Earned was -140.79 in FY2022.
- The Q4 2023 figure represents the highest quarterly Times Interest Earned in data going back to Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 339.52 Bn | 311.22 Bn | 7.76 Bn | 8.64 |
| 2 | Amphenol | 200.47 Bn | 195.05 Bn | 3.55 Bn | 12.09 |
| 3 | Deere | 175.47 Bn | 143.56 Bn | 4.66 Bn | 2.81 |
| 4 | Eaton | 156.31 Bn | 153.50 Bn | 2.86 Bn | 6.93 |
| 5 | Parker-Hannifin | 121.55 Bn | 119.68 Bn | 2.25 Bn | 14.45 |
| 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 | 36.66 |
| 9 | Illinois Tool Works | 77.64 Bn | 74.20 Bn | 1.90 Bn | 14.52 |
| 10 | Stratasys | 582.23 Mn | -367.58 Mn | 58.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 354.63 |
| Mar 31, 2022 | -14.38 |
| Mar 31, 2021 | -48.69 |
| Mar 31, 2020 | -24.00 |
| Mar 31, 2017 | -24.15 |
| Sep 30, 2016 | -523.16 |
| Jun 30, 2016 | -31.78 |
| Mar 31, 2016 | -22.62 |
| Dec 31, 2015 | -16.40 |
| Sep 30, 2015 | -1,964.84 |
| Jun 30, 2015 | -26.63 |
| Mar 31, 2015 | -581.32 |
| Dec 31, 2014 | -22.01 |
| Sep 30, 2014 | -37.49 |
| Jun 30, 2014 | -17.45 |
| Mar 31, 2014 | 0.63 |
| Dec 31, 2013 | -5.45 |
| Sep 30, 2013 | -32.53 |
API Access
Stratasys Times Interest Earned 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=times-interest-earned&ticker=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();