International Business Machines (IBM) Other Accumulated Expenses (2009 - 2016)
International Business Machines (IBM) reported Other Accumulated Expenses of $5.8 billion for Q1 2016, up 0.7% from $5.77 billion a year earlier and up 33.3% from the prior quarter.
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Analysis
International Business Machines (IBM) Other Accumulated Expenses (2009 - 2016) Analysis & Trends
At the end of FY2015, International Business Machines posted Other Accumulated Expenses of $4.35 billion, down 27.4% from FY2014.
- Other Accumulated Expenses has a five-year compound annual growth rate of -3.3% (FY2010 to FY2015).
- By year, Other Accumulated Expenses came in at $5.99 billion in FY2014 (+26.2%), $4.75 billion in FY2013 (-2.0%), $4.85 billion in FY2012 (+6.9%) and $4.54 billion in FY2011 (-12.0%).
- The Q1 2016 figure ranks as the highest quarterly Other Accumulated Expenses since Q4 2014.
- Year over year, Other Accumulated Expenses gained in five of the last eight quarters, with growth averaging 0.4%.
- The high point for year-over-year Other Accumulated Expenses in five years was Q4 2014 (growth of 26.2%); the low point was Q3 2015 (a decline of 32.6%).
- Per Business Quant data, the three quarters before Q1 2016 came in at $4.35 billion (Q4 2015), $3.9 billion (Q3 2015) and $5.3 billion (Q2 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 5.80 Bn |
| Dec 31, 2015 | 4.35 Bn |
| Sep 30, 2015 | 3.90 Bn |
| Jun 30, 2015 | 5.30 Bn |
| Mar 31, 2015 | 5.77 Bn |
| Dec 31, 2014 | 5.99 Bn |
| Sep 30, 2014 | 5.79 Bn |
| Jun 30, 2014 | 4.74 Bn |
| Mar 31, 2014 | 5.29 Bn |
| Dec 31, 2013 | 4.75 Bn |
| Sep 30, 2013 | 4.64 Bn |
| Jun 30, 2013 | 5.21 Bn |
| Mar 31, 2013 | 4.58 Bn |
| Dec 31, 2012 | 4.85 Bn |
| Sep 30, 2012 | 4.97 Bn |
| Jun 30, 2012 | 4.60 Bn |
| Mar 31, 2012 | 4.68 Bn |
| Dec 31, 2011 | 4.54 Bn |
| Sep 30, 2011 | 4.43 Bn |
| Jun 30, 2011 | 5.14 Bn |
API Access
International Business Machines Other Accumulated 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-accumulated-expenses&ticker=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "IBM", "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-accumulated-expenses&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();