Imperial Oil (IMO) Other Accumulated Expenses (2009 - 2018)
Imperial Oil (IMO) recorded Other Accumulated Expenses of $42.96 million in Q3 2018, down 4.6% from $45.03 million a year earlier but up 1.7% from the prior quarter.
Imperial Oil (IMO) Other Accumulated Expenses (2009 - 2018) Analysis & Trends
At the end of FY2017, Imperial Oil reported Other Accumulated Expenses of $44.57 million, up 3.6% from FY2016.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of -3.1% (FY2012 to FY2017).
- Across earlier years, Other Accumulated Expenses came in at $43.03 million in FY2016 (+1.2%), $42.53 million in FY2015 (-14.9%), $49.98 million in FY2014 (+0.4%) and $49.79 million in FY2013 (-4.8%).
- Quarterly Other Accumulated Expenses has ranged from $42.25 million in Q2 2018 to $49.98 million in Q4 2014 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has declined for three consecutive quarters, with an average decline of 1.0% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 3.6% in Q4 2017, against a decline of 14.9% in Q4 2015 at the low end.
- Per Business Quant, the preceding three quarters came in at $42.25 million (Q2 2018), $43.45 million (Q1 2018) and $44.57 million (Q4 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 691.18 Bn | 656.06 Bn | - |
| 2 | Chevron | 428.74 Bn | 406.54 Bn | 33.45 Bn |
| 3 | Shell | 289.76 Bn | 151.10 Bn | - |
| 4 | TotalEnergies SE | 199.50 Bn | 74.85 Bn | 31,614.00 |
| 5 | Eni Spa | 177.82 Bn | 121.01 Bn | - |
| 6 | Conocophillips | 164.56 Bn | 137.27 Bn | 12.81 Bn |
| 7 | Equinor Asa | 107.01 Bn | 19.94 Bn | 4.49 Bn |
| 8 | Canadian Natural Resources | 103.25 Bn | 100.25 Bn | 8.84 Bn |
| 9 | Phillips 66 | 101.28 Bn | 86.24 Bn | 10.69 Bn |
| 10 | Imperial Oil | 60.25 Bn | 54.64 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 42.96 Mn |
| Jun 30, 2018 | 42.25 Mn |
| Mar 31, 2018 | 43.45 Mn |
| Dec 31, 2017 | 44.57 Mn |
| Sep 30, 2017 | 45.03 Mn |
| Jun 30, 2017 | 44.64 Mn |
| Mar 31, 2017 | 43.50 Mn |
| Dec 31, 2016 | 43.03 Mn |
| Sep 30, 2016 | 44.10 Mn |
| Jun 30, 2016 | 44.84 Mn |
| Mar 31, 2016 | 45.47 Mn |
| Dec 31, 2015 | 42.53 Mn |
| Sep 30, 2015 | 43.22 Mn |
| Jun 30, 2015 | 46.73 Mn |
| Mar 31, 2015 | 45.77 Mn |
| Dec 31, 2014 | 49.98 Mn |
| Sep 30, 2014 | 47.49 Mn |
| Jun 30, 2014 | 49.69 Mn |
| Mar 31, 2014 | 47.96 Mn |
| Dec 31, 2013 | 49.79 Mn |
Imperial Oil 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=IMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "IMO", "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=IMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();