Mccormick (MKC-V) Price to Sales (2010 - 2026)
Mccormick's Price to Sales was 1.90 in fiscal Q3 2026 (quarter ended Aug 31, 2026), down 31.8% from 2.78 a year earlier but up 10.0% from the prior quarter.
Mccormick (MKC-V) Price to Sales (2010 - 2026) Analysis & Trends
For FY2025 (ended Nov 30, 2025), Price to Sales at Mccormick came in at 2.65, down 15.4% from FY2024.
- In earlier fiscal years, Price to Sales was 3.13 in FY2024 (+19.9%), 2.61 in FY2023 (-27.4%), 3.60 in FY2022 (-0.9%) and 3.63 in FY2021 (-18.4%).
- Quarterly Price to Sales has moved between 1.73 (fiscal Q2 2026) and 4.01 (fiscal Q1 2022) over five years.
- Compared with a year earlier, Price to Sales has declined for six straight quarters, with an average decline of 10.1% over the last eight quarters.
- The best year-over-year quarter for Price to Sales over five years was fiscal Q4 2024 (growth of 19.9%); the worst was fiscal Q2 2026 (a decline of 40.4%).
- Per Business Quant data, MKC-V's Price to Sales in the three fiscal quarters before Q3 2026 was 1.73 (Q2 2026), 2.69 (Q1 2026) and 2.65 (Q4 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.90 |
| May 31, 2026 | 1.73 |
| Feb 28, 2026 | 2.69 |
| Nov 30, 2025 | 2.65 |
| Aug 31, 2025 | 2.78 |
| May 31, 2025 | 2.90 |
| Feb 28, 2025 | 3.30 |
| Nov 30, 2024 | 3.13 |
| Aug 31, 2024 | 3.22 |
| May 31, 2024 | 2.90 |
| Feb 29, 2024 | 2.76 |
| Nov 30, 2023 | 2.61 |
| Aug 31, 2023 | 3.34 |
| May 31, 2023 | 3.53 |
| Feb 28, 2023 | 3.12 |
| Nov 30, 2022 | 3.60 |
| Aug 31, 2022 | 3.53 |
| May 31, 2022 | 3.92 |
| Feb 28, 2022 | 4.01 |
| Nov 30, 2021 | 3.63 |
Mccormick Price to Sales 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-sales&ticker=MKC-V&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=MKC-V&period=max&api_key=YOUR_API_KEY");
const data = await res.json();