Rocky Mountain Chocolate Factory (RMCF) Inventory (2014 - 2026)
Rocky Mountain Chocolate Factory (RMCF) recorded Inventory of $3.23 million in fiscal Q1 2027 (quarter ended May 31, 2026), down 30.3% from $4.63 million a year earlier and down 20.4% from the prior quarter.
Rocky Mountain Chocolate Factory (RMCF) Inventory (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Rocky Mountain Chocolate Factory reported Inventory of $4.06 million, down 12.4% from FY2025.
- Annual Inventory has a five-year compound annual growth rate of 0.0% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $4.63 million in FY2025 (+6.2%), $4.36 million in FY2024 (+19.7%), $3.64 million in FY2023 (-15.3%) and $4.3 million in FY2022 (+5.8%).
- The fiscal Q1 2027 figure is the lowest quarterly Inventory since fiscal Q1 2024.
- On a year-over-year basis, Inventory has declined for four consecutive quarters, with growth averaging 6.8% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 89.2% in fiscal Q2 2025, against a decline of 49.7% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.06 million (Q4 2026), $3.96 million (Q3 2026) and $4.14 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 5.26 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 4.41 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 1.74 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 3.31 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 2.16 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | - |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 1.19 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 1.80 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 924.70 Mn |
| 10 | Rocky Mountain Chocolate Factory | 7.99 Mn | 3.50 Mn | 1.41 Mn | 3.23 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 3.23 Mn |
| Feb 28, 2026 | 4.06 Mn |
| Nov 30, 2025 | 3.96 Mn |
| Aug 31, 2025 | 4.14 Mn |
| May 31, 2025 | 4.63 Mn |
| Feb 28, 2025 | 4.63 Mn |
| Nov 30, 2024 | 5.72 Mn |
| Aug 31, 2024 | 6.12 Mn |
| May 31, 2024 | 4.25 Mn |
| Feb 29, 2024 | 4.36 Mn |
| Nov 30, 2023 | 3.67 Mn |
| Aug 31, 2023 | 3.23 Mn |
| May 31, 2023 | 2.72 Mn |
| Feb 28, 2023 | 3.64 Mn |
| Nov 30, 2022 | 6.20 Mn |
| Aug 31, 2022 | 6.43 Mn |
| May 31, 2022 | 5.06 Mn |
| Feb 28, 2022 | 4.30 Mn |
| Nov 30, 2021 | 4.94 Mn |
| Aug 31, 2021 | 5.19 Mn |
Rocky Mountain Chocolate Factory Inventory 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=inventory&ticker=RMCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=RMCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();