Stratasys (SSYS) Interest Coverage Ratio (2013 - 2023)
Stratasys' Interest Coverage Ratio was 354.63 in Q4 2023.
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Analysis
Stratasys (SSYS) Interest Coverage Ratio (2013 - 2023) Analysis & Trends
On a trailing twelve-month basis, Stratasys' Interest Coverage Ratio was -33.89 through Dec 31, 2023; for FY2022, it came in at -140.79.
- The Q4 2023 figure marks the highest quarterly Interest Coverage Ratio in data going back to Q3 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 255.56 Bn | 227.26 Bn | 7.76 Bn | 8.64 |
| 2 | Deere | 179.70 Bn | 147.79 Bn | 4.66 Bn | 2.81 |
| 3 | Amphenol | 177.67 Bn | 172.37 Bn | 4.02 Bn | 14.23 |
| 4 | Eaton | 127.13 Bn | 124.07 Bn | 3.11 Bn | 8.03 |
| 5 | Parker-Hannifin | 113.68 Bn | 111.80 Bn | 2.25 Bn | 14.45 |
| 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 | 14.18 |
| 9 | Vertiv Holdings | 68.19 Bn | 57.04 Bn | 1.64 Bn | 153.72 |
| 10 | Stratasys | 499.81 Mn | -450.00 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 Interest Coverage Ratio 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-coverage-ratio&ticker=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "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-coverage-ratio&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();