Globant (GLOB) Operating Interest Expenses (2016 - 2018)
Globant (GLOB) posted Operating Interest Expenses of -$3.24 million for the quarter ended Mar 31, 2018, compared with -$2.14 million a year earlier.
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Analysis
Globant (GLOB) Operating Interest Expenses (2016 - 2018) Analysis & Trends
For the trailing twelve months through Mar 31, 2018, Operating Interest Expenses at Globant was -$11.01 million; for the year ended Dec 31, 2017, it came in at -$11.06 million.
- In prior years, Globant's Operating Interest Expenses was -$19.23 million in the year ended Dec 31, 2016.
- Quarterly Operating Interest Expenses has run from a low of -$3.91 million in the quarter ended Dec 31, 2016 to a high of -$1.97 million in the quarter ended Sep 30, 2017 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | - |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | - |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | - |
| 10 | Globant | 1.49 Bn | 764.00 Mn | 208.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | -3.24 Mn |
| Dec 31, 2017 | -3.66 Mn |
| Sep 30, 2017 | -1.97 Mn |
| Mar 31, 2017 | -2.14 Mn |
| Dec 31, 2016 | -3.91 Mn |
| Sep 30, 2016 | -2.18 Mn |
API Access
Globant Operating Interest 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=operating-interest-expenses&ticker=GLOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "ticker": "GLOB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-interest-expenses&ticker=GLOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();