Canadian Imperial Bank Of Commerce (CM) EPS (Diluted) (2016 - 2026)
Canadian Imperial Bank Of Commerce (CM) posted EPS (Diluted) of $1.83 for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 13.0% from $1.62 a year earlier but down 4.0% from the prior quarter.
Canadian Imperial Bank Of Commerce (CM) EPS (Diluted) (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, EPS (Diluted) at Canadian Imperial Bank Of Commerce was $7.77, up 25.6% year-over-year; for FY2025 (ended Oct 31, 2025), it was $6.46, up 16.8% from FY2024.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of 54.5% (FY2020 to FY2025).
- In prior fiscal years, Canadian Imperial Bank Of Commerce's EPS (Diluted) was $5.53 in FY2024 (+37.4%), $4.03 in FY2023 (-22.1%), $5.17 in FY2022 (-27.6%) and $7.14 in FY2021 (+872.5%).
- Quarterly EPS (Diluted) has run from a low of $0.35 in fiscal Q1 2023 to a high of $2.37 in fiscal Q1 2026 over five years.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last 12 quarters, with growth averaging 20.1% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was fiscal Q1 2024, with growth of 299.2%; the weakest was fiscal Q1 2023, with a decline of 78.8%.
- According to Business Quant data, EPS (Diluted) for the three prior fiscal quarters was $1.91 (Q2 2026), $2.37 (Q1 2026) and $1.67 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 7.70 |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 0.00 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.20 |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 3.46 |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 3.06 |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 2.15 |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 20.99 |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 2.00 |
| 10 | Canadian Imperial Bank Of Commerce | 102.04 Bn | 61.47 Bn | - | 1.83 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.83 |
| Apr 30, 2026 | 1.91 |
| Jan 31, 2026 | 2.37 |
| Oct 31, 2025 | 1.67 |
| Jul 31, 2025 | 1.62 |
| Apr 30, 2025 | 1.49 |
| Jan 31, 2025 | 1.62 |
| Oct 31, 2024 | 1.46 |
| Jul 31, 2024 | 1.42 |
| Apr 30, 2024 | 1.40 |
| Jan 31, 2024 | 1.39 |
| Oct 31, 2023 | 1.19 |
| Jul 31, 2023 | 1.18 |
| Apr 30, 2023 | 1.37 |
| Jan 31, 2023 | 0.35 |
| Oct 31, 2022 | 0.98 |
| Jul 31, 2022 | 1.43 |
| Apr 30, 2022 | 1.33 |
| Jan 31, 2022 | 1.64 |
| Oct 31, 2021 | 1.59 |
Canadian Imperial Bank Of Commerce EPS (Diluted) 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=eps-diluted&ticker=CM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "CM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=CM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();