Rocky Mountain Chocolate Factory (RMCF) Cash & Equivalents (2014 - 2026)
Rocky Mountain Chocolate Factory's Cash & Equivalents came in at $609,000 for fiscal Q1 2027 (quarter ended May 31, 2026), down 31.8% from $893,000 a year earlier and down 50.0% from the prior quarter.
Rocky Mountain Chocolate Factory (RMCF) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Rocky Mountain Chocolate Factory's Cash & Equivalents was $1.22 million, up 69.2% from FY2025.
- Cash & Equivalents carries a five-year compound annual growth rate of -26.4% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $720,000 in FY2025 (-65.4%), $2.08 million in FY2024 (-55.9%), $4.72 million in FY2023 (-37.8%) and $7.59 million in FY2022 (+34.7%).
- The fiscal Q1 2027 figure represents the lowest quarterly Cash & Equivalents in data going back to fiscal Q4 2014.
- Year-over-year, Cash & Equivalents increased in three of the last eight quarters, with an average decline of 5.6%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q2 2026 (growth of 107.3%), and the weakest in fiscal Q1 2025 (a decline of 87.6%).
- Business Quant data shows RMCF's Cash & Equivalents at $1.22 million (Q4 2026), $641,000 (Q3 2026) and $2.02 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 5.49 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.72 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 791.21 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 2.42 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 433.10 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 43.20 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 331.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 839.64 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 611.00 Mn |
| 10 | Rocky Mountain Chocolate Factory | 7.61 Mn | 3.13 Mn | 1.41 Mn | 609,000.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 609,000.00 |
| Feb 28, 2026 | 1.22 Mn |
| Nov 30, 2025 | 641,000.00 |
| Aug 31, 2025 | 2.02 Mn |
| May 31, 2025 | 893,000.00 |
| Feb 28, 2025 | 720,000.00 |
| Nov 30, 2024 | 1.09 Mn |
| Aug 31, 2024 | 973,000.00 |
| May 31, 2024 | 637,000.00 |
| Feb 29, 2024 | 2.08 Mn |
| Nov 30, 2023 | 2.08 Mn |
| Aug 31, 2023 | 3.98 Mn |
| May 31, 2023 | 5.15 Mn |
| Feb 28, 2023 | 4.72 Mn |
| Nov 30, 2022 | 3.22 Mn |
| Aug 31, 2022 | 5.40 Mn |
| May 31, 2022 | 7.33 Mn |
| Feb 28, 2022 | 7.59 Mn |
| Nov 30, 2021 | 6.02 Mn |
| Aug 31, 2021 | 6.73 Mn |
Rocky Mountain Chocolate Factory Cash & Equivalents 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=cash-and-equivalents&ticker=RMCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RMCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();