Canadian Imperial Bank Of Commerce (CM) Price to Earnings (2010 - 2026)
Canadian Imperial Bank Of Commerce's (CM) Price to Earnings came in at 15.03 for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 30.0% from 11.56 a year earlier and up 3.5% from the prior quarter.
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Analysis
Canadian Imperial Bank Of Commerce (CM) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Canadian Imperial Bank Of Commerce's Price to Earnings stood at 12.64, up 11.7% from FY2024.
- Annual Price to Earnings has increased for four consecutive fiscal years.
- In prior fiscal years, Canadian Imperial Bank Of Commerce's Price to Earnings was 11.31 in FY2024 (+27.1%), 8.90 in FY2023 (+1.4%), 8.79 in FY2022 (+3.3%) and 8.50 in FY2021 (-83.3%).
- The fiscal Q3 2026 figure stands as the highest quarterly Price to Earnings in data going back to fiscal Q4 2010.
- On a year-over-year basis, Price to Earnings has increased in each of the last eight quarters, with growth averaging 22.3% over the last eight quarters.
- The strongest year-over-year quarter for Price to Earnings in the past five years was fiscal Q2 2026, with growth of 37.2%; the weakest was fiscal Q3 2022, with a decline of 22.9%.
- According to Business Quant data, Price to Earnings for the three prior fiscal quarters was 14.52 (Q2 2026), 12.73 (Q1 2026) and 12.76 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - |
| 10 | Canadian Imperial Bank Of Commerce | 101.89 Bn | 61.32 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 15.03 |
| Apr 30, 2026 | 14.52 |
| Jan 31, 2026 | 12.73 |
| Oct 31, 2025 | 12.76 |
| Jul 31, 2025 | 11.56 |
| Apr 30, 2025 | 10.58 |
| Jan 31, 2025 | 10.83 |
| Oct 31, 2024 | 11.27 |
| Jul 31, 2024 | 9.73 |
| Apr 30, 2024 | 9.24 |
| Jan 31, 2024 | 9.02 |
| Oct 31, 2023 | 8.85 |
| Jul 31, 2023 | 11.39 |
| Apr 30, 2023 | 10.18 |
| Jan 31, 2023 | 11.20 |
| Oct 31, 2022 | 8.48 |
| Jul 31, 2022 | 8.45 |
| Apr 30, 2022 | 9.04 |
| Jan 31, 2022 | 10.07 |
| Oct 31, 2021 | 10.11 |
API Access
Canadian Imperial Bank Of Commerce Price to Earnings 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=price-to-earnings&ticker=CM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();