Kelly Services (KELYA) Non Operating Interest Expenses (2011 - 2013)
Kelly Services (KELYA) reported Non Operating Interest Expenses of $700,000 for Q3 2013, unchanged from $700,000 a year earlier and down 12.5% from the prior quarter.
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Analysis
Kelly Services (KELYA) Non Operating Interest Expenses (2011 - 2013) Analysis & Trends
Over the twelve months ended Sep 29, 2013, Kelly Services' Non Operating Interest Expenses came in at $2.9 million, down 12.1% year-over-year.
- Five-year quarterly Non Operating Interest Expenses spans a low of $700,000 in Q3 2012 and a high of $1 million in Q1 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 9.39 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Kelly Services | 509.58 Mn | 396.68 Mn | 212.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2013 | 700,000.00 |
| Jun 30, 2013 | 800,000.00 |
| Mar 31, 2013 | 700,000.00 |
| Sep 30, 2012 | 700,000.00 |
| Jul 1, 2012 | 900,000.00 |
| Apr 1, 2012 | 1.00 Mn |
| Oct 2, 2011 | 700,000.00 |
| Jul 3, 2011 | 800,000.00 |
API Access
Kelly Services Non 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=non-operating-interest-expenses&ticker=KELYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "KELYA", "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-operating-interest-expenses&ticker=KELYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();