Imperial Oil (IMO) Selling, General & Administrative (2009 - 2026)
Imperial Oil (IMO) posted Selling, General & Administrative of $104.1 million for Q2 2026, down 42.5% from $181.15 million a year earlier and down 64.0% from the prior quarter.
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Analysis
Imperial Oil (IMO) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Imperial Oil was $1.03 billion, up 45.2% year-over-year; for FY2025, it came in at $991.99 million, up 43.7% from FY2024.
- Annual Selling, General & Administrative shows a three-year compound annual growth rate of 13.5% (FY2022 to FY2025).
- In prior years, Imperial Oil's Selling, General & Administrative was $690.23 million in FY2024 (+8.7%), $635.18 million in FY2023 (-6.4%) and $678.4 million in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Selling, General & Administrative in data going back to Q1 2009.
- On a year-over-year basis, Selling, General & Administrative increased in four of the last eight quarters, with growth averaging 25.8%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q3 2025, with growth of 176.5%; the weakest was Q2 2026, with a decline of 42.5%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $289.49 million (Q1 2026), $182.14 million (Q4 2025) and $451.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 779.83 Bn | 736.31 Bn | - | 2.48 Bn |
| 2 | Chevron | 463.69 Bn | 435.81 Bn | 33.45 Bn | 1.31 Bn |
| 3 | Shell | 319.66 Bn | 179.93 Bn | - | - |
| 4 | TotalEnergies SE | 208.05 Bn | 79.13 Bn | 31,614.00 | - |
| 5 | Conocophillips | 186.47 Bn | 159.17 Bn | 12.81 Bn | 188.00 Mn |
| 6 | Equinor Asa | 126.28 Bn | 39.13 Bn | - | - |
| 7 | Canadian Natural Resources | 117.10 Bn | 114.11 Bn | 8.84 Bn | 114.95 Mn |
| 8 | Phillips 66 | 111.73 Bn | 95.51 Bn | 10.69 Bn | 625.00 Mn |
| 9 | Suncor Energy | 96.42 Bn | 82.16 Bn | - | - |
| 10 | Imperial Oil | 66.39 Bn | 61.49 Bn | - | 104.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.10 Mn |
| Mar 31, 2026 | 289.49 Mn |
| Dec 31, 2025 | 182.14 Mn |
| Sep 30, 2025 | 451.97 Mn |
| Jun 30, 2025 | 181.15 Mn |
| Mar 31, 2025 | 180.50 Mn |
| Dec 31, 2024 | 182.54 Mn |
| Sep 30, 2024 | 163.47 Mn |
| Jun 30, 2024 | 161.58 Mn |
| Mar 31, 2024 | 182.56 Mn |
| Dec 31, 2023 | 167.47 Mn |
| Sep 30, 2023 | 176.79 Mn |
| Jun 30, 2016 | 207.16 Mn |
| Mar 31, 2016 | 196.71 Mn |
| Dec 31, 2015 | 235.29 Mn |
| Sep 30, 2015 | 204.43 Mn |
| Jun 30, 2015 | 221.07 Mn |
| Mar 31, 2015 | 213.50 Mn |
| Dec 31, 2014 | 220.17 Mn |
| Sep 30, 2014 | 233.59 Mn |
API Access
Imperial Oil Selling, General & Administrative 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=selling-general-and-administrative&ticker=IMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=IMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();