Agnt (AGNT) Interest Expenses (2012 - 2017)
Agnt (AGNT) posted Interest Expenses of -$3,458 for Q4 2017, compared with $370.00 a year earlier.
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Analysis
Agnt (AGNT) Interest Expenses (2012 - 2017) Analysis & Trends
For FY2017, Agnt's Interest Expenses came in at $2,077, up 461.4% from FY2016.
- Annual Interest Expenses shows a five-year compound annual growth rate of 1.9% (FY2012 to FY2017).
- In prior years, Agnt's Interest Expenses was $370.00 in FY2016 (-67.2%), $1,127 in FY2015 (+19.6%), $942.00 in FY2014 (-53.7%) and $2,034 in FY2013 (+7.3%).
- The Q4 2017 figure stands as the lowest quarterly Interest Expenses in data going back to Q1 2013.
- According to Business Quant data, Interest Expenses for the three prior quarters was $58.00 (Q3 2017), $3,762 (Q2 2017) and $1,715 (Q1 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | - |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | - |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 41.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 59.60 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 140,000.00 |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | - |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 3.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | -3,458.00 |
| Sep 30, 2017 | 58.00 |
| Jun 30, 2017 | 3,762.00 |
| Mar 31, 2017 | 1,715.00 |
| Dec 31, 2016 | 370.00 |
| Sep 30, 2015 | 202.00 |
| Jun 30, 2015 | 464.00 |
| Mar 31, 2015 | 461.00 |
| Dec 31, 2014 | -453.00 |
| Sep 30, 2014 | 465.00 |
| Jun 30, 2014 | 465.00 |
| Mar 31, 2014 | 465.00 |
| Sep 30, 2013 | 464.00 |
| Jun 30, 2013 | 464.00 |
| Mar 31, 2013 | 642.00 |
| Sep 30, 2012 | 468.00 |
API Access
Agnt 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=interest-expenses&ticker=AGNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "AGNT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=AGNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();