Integer Holdings (ITGR) Non-cash Items (2009 - 2019)
Integer Holdings' Non-cash Items was -$162,000 in FY2019, compared with $148,000 in FY2018.
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Analysis
Integer Holdings (ITGR) Non-cash Items (2009 - 2019) Analysis & Trends
From FY2010 onward, Integer Holdings has reported Non-cash Items for 9 years.
- The FY2019 figure marks the lowest annual Non-cash Items since FY2011.
- Per Business Quant data, Non-cash Items in earlier years was $148,000 in FY2018 (-97.9%), $7.11 million in FY2017 (+36.3%), $5.22 million in FY2016 (+377.2%) and $1.09 million in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | Integer Holdings | 4.31 Bn | 4.25 Bn | 101.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | -5.29 Mn |
| Sep 27, 2019 | 2.83 Mn |
| Jun 28, 2019 | 151,000.00 |
| Mar 29, 2019 | 2.15 Mn |
| Dec 28, 2018 | -2.44 Mn |
| Sep 28, 2018 | -417,000.00 |
| Jun 29, 2018 | 995,000.00 |
| Mar 30, 2018 | 2.01 Mn |
| Dec 29, 2017 | 704,000.00 |
| Sep 29, 2017 | 1.58 Mn |
| Jun 30, 2017 | 1.58 Mn |
| Mar 31, 2017 | 3.24 Mn |
| Apr 4, 2014 | -3.68 Mn |
| Jan 3, 2014 | 71,000.00 |
| Sep 27, 2013 | 460,000.00 |
| Jun 28, 2013 | 654,000.00 |
| Mar 29, 2013 | -930,000.00 |
| Dec 28, 2012 | 7.84 Mn |
| Sep 28, 2012 | 3.01 Mn |
| Jun 29, 2012 | -224,000.00 |
API Access
Integer Holdings Non-cash Items 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-cash-items&ticker=ITGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "ticker": "ITGR", "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-cash-items&ticker=ITGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();