Rocky Mountain Chocolate Factory (RMCF) Revenue (2014 - 2026)
Rocky Mountain Chocolate Factory (RMCF) recorded Revenue of $6.11 million in fiscal Q1 2027 (quarter ended May 31, 2026), down 4.1% from $6.37 million a year earlier and down 9.5% from the prior quarter.
Rocky Mountain Chocolate Factory (RMCF) Revenue (2014 - 2026) Analysis & Trends
On a TTM basis, Rocky Mountain Chocolate Factory's Revenue came in at $27.24 million as of May 31, 2026, down 7.8% year-over-year; for FY2026 (ended Feb 28, 2026), it was $27.5 million, down 7.0% from FY2025.
- Annual Revenue has a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- Across earlier fiscal years, Revenue came in at $29.58 million in FY2025 (+5.8%), $27.95 million in FY2024 (-8.2%), $30.43 million in FY2023 (+3.2%) and $29.49 million in FY2022 (+35.5%).
- The fiscal Q1 2027 figure is the lowest quarterly Revenue since fiscal Q2 2021.
- On a year-over-year basis, Revenue has declined for three consecutive quarters, with an average decline of 0.5% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 32.0% in fiscal Q2 2022, against a decline of 24.1% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.76 million (Q4 2026), $7.54 million (Q3 2026) and $6.82 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 15.16 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 9.36 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 2.79 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 6.26 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 4.39 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 1.94 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 2.22 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 2.96 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 3.33 Bn |
| 10 | Rocky Mountain Chocolate Factory | 7.99 Mn | 3.50 Mn | 1.41 Mn | 6.11 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 6.11 Mn |
| Feb 28, 2026 | 6.76 Mn |
| Nov 30, 2025 | 7.54 Mn |
| Aug 31, 2025 | 6.82 Mn |
| May 31, 2025 | 6.37 Mn |
| Feb 28, 2025 | 8.90 Mn |
| Nov 30, 2024 | 7.89 Mn |
| Aug 31, 2024 | 6.38 Mn |
| May 31, 2024 | 6.41 Mn |
| Feb 29, 2024 | 7.26 Mn |
| Nov 30, 2023 | 7.70 Mn |
| Aug 31, 2023 | 6.56 Mn |
| May 31, 2023 | 6.44 Mn |
| Feb 28, 2023 | 8.15 Mn |
| Nov 30, 2022 | 8.83 Mn |
| Aug 31, 2022 | 6.56 Mn |
| May 31, 2022 | 6.90 Mn |
| Feb 28, 2022 | 7.80 Mn |
| Nov 30, 2021 | 7.90 Mn |
| Aug 31, 2021 | 7.03 Mn |
Rocky Mountain Chocolate Factory Revenue 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=revenue&ticker=RMCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=RMCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();