Rocky Mountain Chocolate Factory (RMCF) Finished Goods (2014 - 2026)
Rocky Mountain Chocolate Factory's Finished Goods was $1.12 million in fiscal Q2 2027 (quarter ended Aug 31, 2026), down 32.7% from $1.66 million a year earlier and down 28.3% from the prior quarter.
Rocky Mountain Chocolate Factory (RMCF) Finished Goods (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Finished Goods at Rocky Mountain Chocolate Factory came in at $2.06 million, down 9.7% from FY2025.
- Finished Goods shows a five-year compound annual growth rate of 1.7% (FY2021 to FY2026).
- In earlier fiscal years, Finished Goods was $2.28 million in FY2025 (-9.2%), $2.51 million in FY2024 (+60.0%), $1.57 million in FY2023 (-27.7%) and $2.17 million in FY2022 (+14.8%).
- The fiscal Q2 2027 figure marks the lowest quarterly Finished Goods since fiscal Q1 2024.
- Compared with a year earlier, Finished Goods has declined for seven straight quarters, with an average decline of 14.6% over the last eight quarters.
- The best year-over-year quarter for Finished Goods over five years was fiscal Q2 2025 (growth of 139.9%); the worst was fiscal Q2 2024 (a decline of 64.2%).
- Per Business Quant data, RMCF's Finished Goods in the three fiscal quarters before Q2 2027 was $1.56 million (Q1 2027), $2.06 million (Q4 2026) and $1.85 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 145.28 Bn | 96.74 Bn | - |
| 2 | Mondelez International | 84.79 Bn | 77.80 Bn | 3.92 Bn |
| 3 | Hershey | 34.79 Bn | 31.52 Bn | 1.51 Bn |
| 4 | Kraft Heinz | 28.94 Bn | 16.59 Bn | 1.99 Bn |
| 5 | General Mills | 18.77 Bn | 16.41 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.22 Bn | 14.00 Bn | 979.60 Mn |
| 7 | Mccormick | 12.91 Bn | 11.98 Bn | 794.90 Mn |
| 8 | Hormel Foods | 12.24 Bn | 8.91 Bn | 471.52 Mn |
| 9 | Chewy | 9.37 Bn | 6.66 Bn | 1.01 Bn |
| 10 | Rocky Mountain Chocolate Factory | 7.92 Mn | 5.03 Mn | 1.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.12 Mn |
| May 31, 2026 | 1.56 Mn |
| Feb 28, 2026 | 2.06 Mn |
| Nov 30, 2025 | 1.85 Mn |
| Aug 31, 2025 | 1.66 Mn |
| May 31, 2025 | 2.02 Mn |
| Feb 28, 2025 | 2.28 Mn |
| Nov 30, 2024 | 2.15 Mn |
| Aug 31, 2024 | 3.28 Mn |
| May 31, 2024 | 2.28 Mn |
| Feb 29, 2024 | 2.51 Mn |
| Nov 30, 2023 | 1.63 Mn |
| Aug 31, 2023 | 1.37 Mn |
| May 31, 2023 | 1.08 Mn |
| Feb 28, 2023 | 1.57 Mn |
| Nov 30, 2022 | 3.30 Mn |
| Aug 31, 2022 | 3.81 Mn |
| May 31, 2022 | 2.78 Mn |
| Feb 28, 2022 | 2.17 Mn |
| Nov 30, 2021 | 2.16 Mn |
Rocky Mountain Chocolate Factory Finished Goods 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=finished-goods&ticker=RMCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=RMCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();