Rocky Mountain Chocolate Factory (RMCF) Market Capitalization (2014 - 2026)
Rocky Mountain Chocolate Factory (RMCF) posted Market Capitalization of $18.51 million for fiscal Q1 2027 (quarter ended May 31, 2026), up 95.4% from $9.47 million a year earlier but down 6.5% from the prior quarter.
Rocky Mountain Chocolate Factory (RMCF) Market Capitalization (2014 - 2026) Analysis & Trends
For FY2026 (ended Feb 28, 2026), Rocky Mountain Chocolate Factory's Market Capitalization came in at $19.8 million, up 61.3% from FY2025.
- Annual Market Capitalization shows a five-year compound annual growth rate of -9.2% (FY2021 to FY2026).
- In prior fiscal years, Rocky Mountain Chocolate Factory's Market Capitalization was $12.28 million in FY2025 (-51.9%), $25.54 million in FY2024 (-18.5%), $31.35 million in FY2023 (-35.4%) and $48.56 million in FY2022 (+51.1%).
- Quarterly Market Capitalization has run from a low of $9.47 million in fiscal Q1 2026 to a high of $52.5 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Market Capitalization increased in two of the last eight quarters, with an average decline of 9.1%.
- The strongest year-over-year quarter for Market Capitalization in the past five years was fiscal Q2 2022, with growth of 145.5%; the weakest was fiscal Q2 2025, with a decline of 56.0%.
- According to Business Quant data, Market Capitalization for the three prior fiscal quarters was $19.8 million (Q4 2026), $13.19 million (Q3 2026) and $11.3 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn |
| 10 | Rocky Mountain Chocolate Factory | 7.99 Mn | 3.50 Mn | 1.41 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 18.51 Mn |
| Feb 28, 2026 | 19.80 Mn |
| Nov 30, 2025 | 13.19 Mn |
| Aug 31, 2025 | 11.30 Mn |
| May 31, 2025 | 9.47 Mn |
| Feb 28, 2025 | 12.28 Mn |
| Nov 30, 2024 | 20.70 Mn |
| Aug 31, 2024 | 14.04 Mn |
| May 31, 2024 | 17.71 Mn |
| Feb 29, 2024 | 25.54 Mn |
| Nov 30, 2023 | 25.72 Mn |
| Aug 31, 2023 | 31.88 Mn |
| May 31, 2023 | 32.21 Mn |
| Feb 28, 2023 | 31.35 Mn |
| Nov 30, 2022 | 37.93 Mn |
| Aug 31, 2022 | 41.45 Mn |
| May 31, 2022 | 41.94 Mn |
| Feb 28, 2022 | 48.56 Mn |
| Nov 30, 2021 | 52.50 Mn |
| Aug 31, 2021 | 48.57 Mn |
Rocky Mountain Chocolate Factory Market Capitalization 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=market-capitalization&ticker=RMCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "ticker": "RMCF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=market-capitalization&ticker=RMCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();