Rocky Mountain Chocolate Factory (RMCF) Intangibles (2014 - 2022)
Rocky Mountain Chocolate Factory (RMCF) reported Intangibles of $1.8 million for fiscal Q3 2023 (quarter ended Nov 30, 2022), down 17.7% from $2.19 million a year earlier and down 4.9% from the prior quarter.
Rocky Mountain Chocolate Factory (RMCF) Intangibles (2014 - 2022) Analysis & Trends
At the end of FY2022 (ended Feb 28, 2022), Rocky Mountain Chocolate Factory posted Intangibles of $2.08 million, down 17.5% from FY2021.
- Intangibles has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -15.5% (FY2017 to FY2022).
- By fiscal year, Intangibles came in at $2.52 million in FY2021 (-17.3%), $3.05 million in FY2020 (-17.2%), $3.68 million in FY2019 (-17.0%) and $4.43 million in FY2018 (-8.1%).
- The fiscal Q3 2023 figure ranks as the lowest quarterly Intangibles in data going back to fiscal Q4 2014.
- Year over year, Intangibles has now declined in each of the last 28 quarters, with an average decline of 17.5% over the last eight quarters.
- The year-over-year decline in Intangibles has ranged between 8.1% (fiscal Q4 2018) and 17.7% (fiscal Q3 2023) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q3 2023 came in at $1.89 million (Q2 2023), $1.99 million (Q1 2023) and $2.08 million (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 20.41 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 19.51 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 2.43 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 32.37 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 6.71 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 4.94 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 5.63 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 1.57 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 149.70 Mn |
| 10 | Rocky Mountain Chocolate Factory | 7.99 Mn | 3.50 Mn | 1.41 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2022 | 1.80 Mn |
| Aug 31, 2022 | 1.89 Mn |
| May 31, 2022 | 1.99 Mn |
| Feb 28, 2022 | 2.08 Mn |
| Nov 30, 2021 | 2.19 Mn |
| Aug 31, 2021 | 2.30 Mn |
| May 31, 2021 | 2.41 Mn |
| Feb 28, 2021 | 2.52 Mn |
| Nov 30, 2020 | 2.65 Mn |
| Aug 31, 2020 | 2.78 Mn |
| May 31, 2020 | 2.92 Mn |
| Feb 29, 2020 | 3.05 Mn |
| Nov 30, 2019 | 3.21 Mn |
| Aug 31, 2019 | 3.36 Mn |
| May 31, 2019 | 3.52 Mn |
| Feb 28, 2019 | 3.68 Mn |
| Nov 30, 2018 | 3.87 Mn |
| Aug 31, 2018 | 4.06 Mn |
| May 31, 2018 | 4.25 Mn |
| Feb 28, 2018 | 4.43 Mn |
Rocky Mountain Chocolate Factory Intangibles 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=intangibles&ticker=RMCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=RMCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();