Rocky Mountain Chocolate Factory (RMCF) Receivables (2014 - 2026)
Rocky Mountain Chocolate Factory (RMCF) posted Receivables of $2.73 million for fiscal Q1 2027 (quarter ended May 31, 2026), up 17.1% from $2.33 million a year earlier and up 7.1% from the prior quarter.
Rocky Mountain Chocolate Factory (RMCF) Receivables (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Rocky Mountain Chocolate Factory's Receivables came in at $2.55 million, down 25.3% from FY2025.
- Annual Receivables shows a five-year compound annual growth rate of 5.4% (FY2021 to FY2026).
- In prior fiscal years, Rocky Mountain Chocolate Factory's Receivables was $3.41 million in FY2025 (+54.8%), $2.2 million in FY2024 (+7.0%), $2.06 million in FY2023 (+7.9%) and $1.91 million in FY2022 (-2.4%).
- Quarterly Receivables has run from a low of $1.83 million in fiscal Q1 2024 to a high of $4.1 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Receivables increased in five of the last eight quarters, with growth averaging 14.0%.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q4 2025, with growth of 54.8%; the weakest was fiscal Q2 2022, with a decline of 37.6%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $2.55 million (Q4 2026), $3.85 million (Q3 2026) and $3.19 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 11.86 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 5.01 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 907.37 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 2.29 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 1.78 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 709.40 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 615.70 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 733.46 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 232.10 Mn |
| 10 | Rocky Mountain Chocolate Factory | 7.99 Mn | 3.50 Mn | 1.41 Mn | 2.73 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.73 Mn |
| Feb 28, 2026 | 2.55 Mn |
| Nov 30, 2025 | 3.85 Mn |
| Aug 31, 2025 | 3.19 Mn |
| May 31, 2025 | 2.33 Mn |
| Feb 28, 2025 | 3.41 Mn |
| Nov 30, 2024 | 4.10 Mn |
| Aug 31, 2024 | 2.44 Mn |
| May 31, 2024 | 2.47 Mn |
| Feb 29, 2024 | 2.20 Mn |
| Nov 30, 2023 | 3.36 Mn |
| Aug 31, 2023 | 1.96 Mn |
| May 31, 2023 | 1.83 Mn |
| Feb 28, 2023 | 2.06 Mn |
| Nov 30, 2022 | 3.23 Mn |
| Aug 31, 2022 | 1.96 Mn |
| May 31, 2022 | 1.90 Mn |
| Feb 28, 2022 | 1.91 Mn |
| Nov 30, 2021 | 2.99 Mn |
| Aug 31, 2021 | 2.27 Mn |
Rocky Mountain Chocolate Factory Receivables 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=receivables&ticker=RMCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=RMCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();