Rocky Mountain Chocolate Factory (RMCF) Cost of Revenue (2014 - 2026)
Rocky Mountain Chocolate Factory's Cost of Revenue came in at $4.7 million for fiscal Q1 2027 (quarter ended May 31, 2026), up 7.1% from $4.39 million a year earlier but down 22.4% from the prior quarter.
Rocky Mountain Chocolate Factory (RMCF) Cost of Revenue (2014 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Rocky Mountain Chocolate Factory reported Cost of Revenue of $20.95 million, down 7.8% year-over-year; for FY2026 (ended Feb 28, 2026), it came in at $20.64 million, down 13.7% from FY2025.
- Cost of Revenue carries a five-year compound annual growth rate of 5.5% (FY2021 to FY2026).
- Going back by fiscal year, Cost of Revenue was $23.92 million in FY2025 (+15.8%), $20.66 million in FY2024 (+1.0%), $20.46 million in FY2023 (+9.9%) and $18.61 million in FY2022 (+17.8%).
- The five-year range for quarterly Cost of Revenue is $3.89 million (fiscal Q2 2023) to $7.94 million (fiscal Q4 2025).
- Year-over-year, Cost of Revenue increased in four of the last eight quarters, with growth averaging 0.9%.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q4 2025 (growth of 44.4%), and the weakest in fiscal Q4 2026 (a decline of 23.7%).
- Business Quant data shows RMCF's Cost of Revenue at $6.06 million (Q4 2026), $4.98 million (Q3 2026) and $5.22 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 5.37 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 1.52 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 4.23 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 2.90 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 1.24 Bn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 1.23 Bn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.49 Bn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 2.32 Bn |
| 10 | Rocky Mountain Chocolate Factory | 8.36 Mn | 3.88 Mn | 1.41 Mn | 4.70 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 4.70 Mn |
| Feb 28, 2026 | 6.06 Mn |
| Nov 30, 2025 | 4.98 Mn |
| Aug 31, 2025 | 5.22 Mn |
| May 31, 2025 | 4.39 Mn |
| Feb 28, 2025 | 7.94 Mn |
| Nov 30, 2024 | 6.04 Mn |
| Aug 31, 2024 | 4.35 Mn |
| May 31, 2024 | 5.59 Mn |
| Feb 29, 2024 | 5.50 Mn |
| Nov 30, 2023 | 5.77 Mn |
| Aug 31, 2023 | 4.63 Mn |
| May 31, 2023 | 4.76 Mn |
| Feb 28, 2023 | 6.31 Mn |
| Nov 30, 2022 | 5.73 Mn |
| Aug 31, 2022 | 3.89 Mn |
| May 31, 2022 | 4.53 Mn |
| Feb 28, 2022 | 4.79 Mn |
| Nov 30, 2021 | 5.20 Mn |
| Aug 31, 2021 | 4.07 Mn |
Rocky Mountain Chocolate Factory Cost of 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=cost-of-revenue&ticker=RMCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=RMCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();