Rocky Mountain Chocolate Factory (RMCF) Net Long-Term Debt Issued (Repaid) (2015 - 2024)
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Analysis
Rocky Mountain Chocolate Factory (RMCF) Net Long-Term Debt Issued (Repaid) (2015 - 2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 145.28 Bn | 96.74 Bn | - | - |
| 2 | Mondelez International | 84.79 Bn | 77.80 Bn | 3.92 Bn | -967.00 Mn |
| 3 | Hershey | 34.79 Bn | 31.52 Bn | 1.51 Bn | -501.66 Mn |
| 4 | Kraft Heinz | 28.94 Bn | 16.59 Bn | 1.99 Bn | -1.00 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 | -1.70 Mn |
| 8 | Hormel Foods | 12.24 Bn | 8.91 Bn | 471.52 Mn | -1.77 Mn |
| 9 | Chewy | 9.37 Bn | 6.66 Bn | 1.01 Bn | -220.00 Mn |
| 10 | Rocky Mountain Chocolate Factory | 7.92 Mn | 5.03 Mn | 1.77 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2024 | 6.00 Mn |
| Feb 28, 2021 | -3.56 Mn |
| May 31, 2020 | 4.99 Mn |
| Feb 29, 2020 | -127,576.00 |
| Nov 30, 2019 | -352,869.00 |
| Aug 31, 2019 | -349,496.00 |
| May 31, 2019 | -346,547.00 |
| Feb 28, 2019 | -342,881.00 |
| Nov 30, 2018 | -339,604.00 |
| Aug 31, 2018 | -336,381.00 |
| May 31, 2018 | -333,955.00 |
| Feb 28, 2018 | -330,011.00 |
| Nov 30, 2017 | -326,857.00 |
| Aug 31, 2017 | -323,733.00 |
| May 31, 2017 | -321,831.00 |
| Feb 28, 2017 | -317,598.00 |
| Nov 30, 2016 | -314,562.00 |
| Aug 31, 2016 | -311,578.00 |
| May 31, 2016 | -309,654.00 |
| Feb 29, 2016 | -305,674.00 |
API Access
Rocky Mountain Chocolate Factory Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=RMCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=RMCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();