Imperial Oil (IMO) Research & Development (2009 - 2026)
Imperial Oil's Research & Development was $722,925 in Q2 2026, down 67.0% from the prior quarter.
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Analysis
Imperial Oil (IMO) Research & Development (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Imperial Oil's Research & Development was $6.51 million through Jun 30, 2026, up 205.9% year-over-year; for FY2025, it was $5.01 million, up 128.6% from FY2024.
- Research & Development shows a five-year compound annual growth rate of -12.4% (FY2020 to FY2025).
- In earlier years, Research & Development was $2.19 million in FY2024 (-40.9%), $3.71 million in FY2023 (-3.6%), $3.85 million in FY2022 (-84.9%) and $25.39 million in FY2021 (+161.6%).
- The Q2 2026 figure marks the lowest quarterly Research & Development in data going back to Q1 2009.
- Compared with a year earlier, Research & Development was higher in two of the last four quarters, with growth averaging 35.5%.
- The best year-over-year quarter for Research & Development over five years was Q4 2021 (growth of 284.2%); the worst was Q4 2022 (a decline of 96.4%).
- Per Business Quant data, IMO's Research & Development in the three quarters before Q2 2026 was $2.19 million (Q1 2026), $2.87 million (Q4 2025) and $726,635 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 694.97 Bn | 658.18 Bn | - | 155.00 Mn |
| 2 | Shell | 570.13 Bn | 500.87 Bn | 92.16 Bn | 300.00 Mn |
| 3 | Chevron | 418.82 Bn | 396.62 Bn | 33.45 Bn | 256.00 Mn |
| 4 | TotalEnergies SE | 189.94 Bn | 73.07 Bn | 61.77 Bn | -95.00 |
| 5 | Eni Spa | 176.22 Bn | 126.56 Bn | - | - |
| 6 | Conocophillips | 161.10 Bn | 133.81 Bn | 12.81 Bn | 75.00 Mn |
| 7 | Phillips 66 | 110.98 Bn | 99.96 Bn | 8.38 Bn | - |
| 8 | Equinor Asa | 107.54 Bn | 22.06 Bn | - | -189.00 Mn |
| 9 | Canadian Natural Resources | 103.35 Bn | 100.30 Bn | 15.40 Bn | - |
| 10 | Imperial Oil | 59.57 Bn | 54.60 Bn | - | 722,925.27 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 722,925.27 |
| Mar 31, 2026 | 2.19 Mn |
| Dec 31, 2025 | 2.87 Mn |
| Sep 30, 2025 | 726,635.00 |
| Mar 31, 2025 | 1.39 Mn |
| Sep 30, 2024 | 733,053.41 |
| Jun 30, 2024 | 731,140.55 |
| Mar 31, 2024 | 742,113.21 |
| Dec 31, 2023 | 1.47 Mn |
| Sep 30, 2023 | 745,930.47 |
| Jun 30, 2023 | 744,452.47 |
| Mar 31, 2023 | 739,696.37 |
| Dec 31, 2022 | 736,702.94 |
| Sep 30, 2022 | 766,746.25 |
| Jun 30, 2022 | 784,340.65 |
| Mar 31, 2022 | 1.58 Mn |
| Dec 31, 2021 | 20.63 Mn |
| Sep 30, 2021 | 1.59 Mn |
| Jun 30, 2021 | 1.63 Mn |
| Mar 31, 2021 | 1.58 Mn |
API Access
Imperial Oil Research & Development 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=research-and-development&ticker=IMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=IMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();