Mccormick (MKC-V) Price to Earnings (2010 - 2026)
Mccormick's (MKC-V) Price to Earnings came in at 9.80 for fiscal Q3 2026 (quarter ended Aug 31, 2026), down 59.7% from 24.29 a year earlier but up 24.3% from the prior quarter.
Mccormick (MKC-V) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2025 (ended Nov 30, 2025), Mccormick's Price to Earnings stood at 22.95, down 14.0% from FY2024.
- In prior fiscal years, Mccormick's Price to Earnings was 26.70 in FY2024 (+4.4%), 25.57 in FY2023 (-23.7%), 33.50 in FY2022 (+10.3%) and 30.37 in FY2021 (-8.9%).
- Quarterly Price to Earnings has run from a low of 7.88 in fiscal Q2 2026 to a high of 36.41 in fiscal Q2 2022 over five years.
- On a year-over-year basis, Price to Earnings has declined in each of the last six quarters, with an average decline of 25.4% over the last eight quarters.
- The strongest year-over-year quarter for Price to Earnings in the past five years was fiscal Q1 2022, with growth of 15.7%; the weakest was fiscal Q2 2026, with a decline of 68.7%.
- According to Business Quant data, Price to Earnings for the three prior fiscal quarters was 7.88 (Q2 2026), 11.62 (Q1 2026) and 22.95 (Q4 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 9.80 |
| May 31, 2026 | 7.88 |
| Feb 28, 2026 | 11.62 |
| Nov 30, 2025 | 22.95 |
| Aug 31, 2025 | 24.29 |
| May 31, 2025 | 25.19 |
| Feb 28, 2025 | 28.24 |
| Nov 30, 2024 | 26.70 |
| Aug 31, 2024 | 27.12 |
| May 31, 2024 | 26.23 |
| Feb 29, 2024 | 26.12 |
| Nov 30, 2023 | 25.57 |
| Aug 31, 2023 | 34.05 |
| May 31, 2023 | 32.88 |
| Feb 28, 2023 | 29.92 |
| Nov 30, 2022 | 33.50 |
| Aug 31, 2022 | 32.52 |
| May 31, 2022 | 36.41 |
| Feb 28, 2022 | 34.05 |
| Nov 30, 2021 | 30.37 |
Mccormick 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=MKC-V&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "MKC-V", "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=MKC-V&period=max&api_key=YOUR_API_KEY");
const data = await res.json();