Deluxe (DLX) Other Operating Expenses (2011 - 2016)
Deluxe (DLX) posted Other Operating Expenses of -$65,000 for Q3 2016, compared with -$233,000 a year earlier.
Analysis
Deluxe (DLX) Other Operating Expenses (2011 - 2016) Analysis & Trends
For FY2015, Deluxe's Other Operating Expenses came in at -$1.82 million.
- In prior years, Deluxe's Other Operating Expenses was -$879,000 in FY2014, -$1.47 million in FY2013, -$2.81 million in FY2012 and -$892,000 in FY2011.
- The Q3 2016 figure stands as the highest quarterly Other Operating Expenses since Q2 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - |
| 3 | Block | 44.18 Bn | 15.44 Bn | 3.17 Bn |
| 4 | Iren | 31.11 Bn | 18.70 Bn | 103.89 Mn |
| 5 | Corpay | 25.52 Bn | 15.72 Bn | - |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 Bn |
| 7 | Global Payments | 21.72 Bn | 155.29 Mn | 2.03 Bn |
| 8 | Bitmine Immersion Technologies | 15.32 Bn | 12.70 Bn | 40.81 Mn |
| 9 | Guidewire Software | 11.69 Bn | 8.26 Bn | 269.68 Mn |
| 10 | Deluxe | 1.05 Bn | 928.08 Mn | 259.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | -65,000.00 |
| Jun 30, 2016 | -82,000.00 |
| Dec 31, 2015 | -1.40 Mn |
| Sep 30, 2015 | -233,000.00 |
| Jun 30, 2015 | -188,000.00 |
| Dec 31, 2014 | -575,000.00 |
| Sep 30, 2014 | -162,000.00 |
| Mar 31, 2014 | -232,000.00 |
| Dec 31, 2013 | -967,000.00 |
| Sep 30, 2013 | -299,000.00 |
| Jun 30, 2013 | -127,000.00 |
| Mar 31, 2013 | -78,000.00 |
| Dec 31, 2012 | -1.58 Mn |
| Sep 30, 2012 | -193,000.00 |
| Jun 30, 2012 | 205,000.00 |
| Mar 31, 2012 | -1.24 Mn |
| Dec 31, 2011 | 55,000.00 |
| Sep 30, 2011 | -261,000.00 |
| Jun 30, 2011 | -529,000.00 |
API Access
Deluxe Other Operating Expenses 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=other-operating-expenses&ticker=DLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "DLX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=DLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();