Kla (KLAC) Other Operating Expenses (2009 - 2015)
Kla (KLAC) reported Other Operating Expenses of $320.28 million for fiscal Q3 2015 (quarter ended Mar 31, 2015), down 6.6% from $342.83 million a year earlier but up 13.1% from the prior quarter.
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Analysis
Kla (KLAC) Other Operating Expenses (2009 - 2015) Analysis & Trends
For FY2014 (ended Jun 30, 2014), Kla posted Other Operating Expenses of $1.23 billion, down 0.4% from FY2013.
- Other Operating Expenses has a five-year compound annual growth rate of -1.2% (FY2009 to FY2014).
- By fiscal year, Other Operating Expenses came in at $1.24 billion in FY2013 (-7.0%), $1.33 billion in FY2012 (+5.6%), $1.26 billion in FY2011 (+54.4%) and $815.66 million in FY2010 (-37.8%).
- Five-year quarterly Other Operating Expenses spans a low of $227.92 million in fiscal Q4 2010 and a high of $361.66 million in fiscal Q4 2012.
- Year over year, Other Operating Expenses gained in three of the last eight quarters, with an average decline of 2.5%.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q3 2011 (growth of 57.1%); the low point was fiscal Q4 2013 (a decline of 15.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2015 came in at $283.21 million (Q2 2015), $288.47 million (Q1 2015) and $326.67 million (Q4 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn |
| 10 | Kla | 261.83 Bn | 253.99 Bn | 2.24 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | 320.28 Mn |
| Dec 31, 2014 | 283.21 Mn |
| Sep 30, 2014 | 288.47 Mn |
| Jun 30, 2014 | 326.67 Mn |
| Mar 31, 2014 | 342.83 Mn |
| Dec 31, 2013 | 285.81 Mn |
| Sep 30, 2013 | 277.66 Mn |
| Jun 30, 2013 | 306.80 Mn |
| Mar 31, 2013 | 309.51 Mn |
| Dec 31, 2012 | 303.92 Mn |
| Sep 30, 2012 | 317.23 Mn |
| Jun 30, 2012 | 361.66 Mn |
| Mar 31, 2012 | 355.15 Mn |
| Dec 31, 2011 | 272.86 Mn |
| Sep 30, 2011 | 340.35 Mn |
| Jun 30, 2011 | 356.18 Mn |
| Mar 31, 2011 | 327.70 Mn |
| Dec 31, 2010 | 311.40 Mn |
| Sep 30, 2010 | 263.97 Mn |
| Jun 30, 2010 | 227.92 Mn |
API Access
Kla 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=KLAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "KLAC", "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=KLAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();