Stratasys (SSYS) Short term Debt (2016 - 2018)
Stratasys (SSYS) recorded Short term Debt of $5.14 million in Q4 2018, unchanged from $5.14 million a year earlier and unchanged from the prior quarter.
Analysis
Stratasys (SSYS) Short term Debt (2016 - 2018) Analysis & Trends
Starting with Q4 2016, Stratasys' Short term Debt history includes 9 quarters.
- Across earlier years, Short term Debt came in at $5.14 million in FY2017 (+38.5%) and $3.71 million in FY2016.
- On a year-over-year basis, Short term Debt rose in four of the last five quarters, with growth averaging 30.8%.
- Per Business Quant, the preceding three quarters came in at $5.14 million (Q3 2018), $5.14 million (Q2 2018) and $5.14 million (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 339.52 Bn | 311.22 Bn | 7.76 Bn |
| 2 | Amphenol | 200.47 Bn | 195.05 Bn | 3.55 Bn |
| 3 | Deere | 175.47 Bn | 143.56 Bn | 4.66 Bn |
| 4 | Eaton | 156.31 Bn | 153.50 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 121.55 Bn | 119.68 Bn | 2.25 Bn |
| 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 |
| 9 | Illinois Tool Works | 77.64 Bn | 74.20 Bn | 1.90 Bn |
| 10 | Stratasys | 582.23 Mn | -367.58 Mn | 58.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 5.14 Mn |
| Sep 30, 2018 | 5.14 Mn |
| Jun 30, 2018 | 5.14 Mn |
| Mar 31, 2018 | 5.14 Mn |
| Dec 31, 2017 | 5.14 Mn |
| Sep 30, 2017 | 3.71 Mn |
| Jun 30, 2017 | 3.71 Mn |
| Mar 31, 2017 | 3.71 Mn |
| Dec 31, 2016 | 3.71 Mn |
API Access
Stratasys Short term Debt 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=short-term-debt&ticker=SSYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-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=short-term-debt&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();