Rocky Mountain Chocolate Factory (RMCF) Operating Expenses (2014 - 2026)
Rocky Mountain Chocolate Factory's Operating Expenses came in at $7.12 million for fiscal Q1 2027 (quarter ended May 31, 2026), up 9.2% from $6.52 million a year earlier but down 27.4% from the prior quarter.
Rocky Mountain Chocolate Factory (RMCF) Operating Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Rocky Mountain Chocolate Factory reported Operating Expenses of $31.69 million, down 6.8% year-over-year; for FY2026 (ended Feb 28, 2026), it was $31.08 million, down 12.5% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 4.9% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $35.52 million in FY2025 (+8.1%), $32.85 million in FY2024 (-7.0%), $35.32 million in FY2023 (+17.0%) and $30.18 million in FY2022 (+23.2%).
- The five-year range for quarterly Operating Expenses is $5.1 million (fiscal Q4 2022) to $11.6 million (fiscal Q4 2025).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with an average decline of 1.1%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2023 (growth of 97.9%), and the weakest in fiscal Q1 2026 (a decline of 18.9%).
- Business Quant data shows RMCF's Operating Expenses at $9.8 million (Q4 2026), $7.46 million (Q3 2026) and $7.3 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 853.60 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 441.80 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 411.10 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Rocky Mountain Chocolate Factory | 7.99 Mn | 3.50 Mn | 1.41 Mn | 7.12 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 7.12 Mn |
| Feb 28, 2026 | 9.80 Mn |
| Nov 30, 2025 | 7.46 Mn |
| Aug 31, 2025 | 7.30 Mn |
| May 31, 2025 | 6.52 Mn |
| Feb 28, 2025 | 11.60 Mn |
| Nov 30, 2024 | 8.59 Mn |
| Aug 31, 2024 | 7.29 Mn |
| May 31, 2024 | 8.04 Mn |
| Feb 29, 2024 | 8.84 Mn |
| Nov 30, 2023 | 8.47 Mn |
| Aug 31, 2023 | 7.57 Mn |
| May 31, 2023 | 7.98 Mn |
| Feb 28, 2023 | 10.10 Mn |
| Nov 30, 2022 | 9.02 Mn |
| Aug 31, 2022 | 8.98 Mn |
| May 31, 2022 | 7.22 Mn |
| Feb 28, 2022 | 5.10 Mn |
| Nov 30, 2021 | 10.47 Mn |
| Aug 31, 2021 | 7.67 Mn |
Rocky Mountain Chocolate Factory Operating Expenses 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=operating-expenses&ticker=RMCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RMCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();