Stratasys (SSYS) Net Long-Term Debt Issued (Repaid) (2017 - 2019)
Stratasys (SSYS) recorded Net Long-Term Debt Issued (Repaid) of -$27.29 million in FY2019, compared with -$5.14 million in FY2018.
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Analysis
Stratasys (SSYS) Net Long-Term Debt Issued (Repaid) (2017 - 2019) Analysis & Trends
Starting with FY2016, Stratasys' Net Long-Term Debt Issued (Repaid) history includes 4 years.
- Per Business Quant data, SSYS's Net Long-Term Debt Issued (Repaid) was -$5.14 million in FY2018, $13.71 million in FY2017 (-47.3%) and $26 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 255.56 Bn | 227.26 Bn | 7.76 Bn | 1.91 Bn |
| 2 | Deere | 179.70 Bn | 147.79 Bn | 4.66 Bn | -481.00 Mn |
| 3 | Amphenol | 177.67 Bn | 172.37 Bn | 4.02 Bn | -937.90 Mn |
| 4 | Eaton | 127.13 Bn | 124.07 Bn | 3.11 Bn | -2.00 Mn |
| 5 | Parker-Hannifin | 113.68 Bn | 111.80 Bn | 2.25 Bn | 1.00 Mn |
| 6 | 3M | 97.60 Bn | 79.05 Bn | 2.78 Bn | 2.53 Bn |
| 7 | Emerson Electric | 91.05 Bn | 83.78 Bn | 2.66 Bn | -1.42 Bn |
| 8 | Illinois Tool Works | 81.41 Bn | 78.08 Bn | 1.91 Bn | - |
| 9 | Vertiv Holdings | 68.19 Bn | 57.04 Bn | 1.64 Bn | -15.30 Mn |
| 10 | Stratasys | 499.81 Mn | -450.00 Mn | 58.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | -54.59 Mn |
| Mar 31, 2019 | 27.29 Mn |
| Dec 31, 2018 | -9.00 Mn |
| Sep 30, 2018 | 1.29 Mn |
| Jun 30, 2018 | 1.29 Mn |
| Mar 31, 2018 | 1.29 Mn |
| Dec 31, 2017 | 928,000.00 |
| Sep 30, 2017 | 929,000.00 |
| Jun 30, 2017 | 928,000.00 |
| Mar 31, 2017 | 929,000.00 |
API Access
Stratasys Net Long-Term Debt Issued (Repaid) 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-current-debt&ticker=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();