Rocky Mountain Chocolate Factory (RMCF) Depreciation and Depletion (2019 - 2026)
Rocky Mountain Chocolate Factory's Depreciation and Depletion was $400,000 in fiscal Q2 2027 (quarter ended Aug 31, 2026), up 33.3% from $300,000 a year earlier and up 33.3% from the prior quarter.
Rocky Mountain Chocolate Factory (RMCF) Depreciation and Depletion (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rocky Mountain Chocolate Factory's Depreciation and Depletion was $1.4 million through Aug 31, 2026, up 27.3% year-over-year; for FY2026 (ended Feb 28, 2026), it was $1.4 million, up 55.6% from FY2025.
- Depreciation and Depletion shows a five-year compound annual growth rate of 13.3% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation and Depletion was $900,000 in FY2025 (unchanged), $900,000 in FY2024 (+22.2%), $736,358 in FY2023 (+3.6%) and $710,804 in FY2022 (-5.4%).
- Compared with a year earlier, Depreciation and Depletion was higher in five of the last eight quarters, with growth averaging 31.3%.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q4 2026 (growth of 100.0%); the worst was fiscal Q4 2025 (a decline of 33.3%).
- Per Business Quant data, RMCF's Depreciation and Depletion in the three fiscal quarters before Q2 2027 was $300,000 (Q1 2027), $400,000 (Q4 2026) and $300,000 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 145.28 Bn | 96.74 Bn | - | - |
| 2 | Mondelez International | 84.79 Bn | 77.80 Bn | 3.92 Bn | 225.00 Mn |
| 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 | 69.60 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 | 24.50 Mn |
| 10 | Rocky Mountain Chocolate Factory | 7.92 Mn | 5.03 Mn | 1.77 Mn | 400,000.00 |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 400,000.00 |
| May 31, 2026 | 300,000.00 |
| Feb 28, 2026 | 400,000.00 |
| Nov 30, 2025 | 300,000.00 |
| Aug 31, 2025 | 300,000.00 |
| May 31, 2025 | 300,000.00 |
| Feb 28, 2025 | 200,000.00 |
| Nov 30, 2024 | 300,000.00 |
| Aug 31, 2024 | 200,000.00 |
| May 31, 2024 | 200,000.00 |
| Feb 29, 2024 | 300,000.00 |
| Nov 30, 2023 | 200,000.00 |
| Aug 31, 2023 | 200,000.00 |
| May 31, 2023 | 200,000.00 |
| Feb 28, 2023 | 168,944.00 |
| Nov 30, 2022 | 188,997.00 |
| Aug 31, 2022 | 182,298.00 |
| May 31, 2022 | 181,667.00 |
| Feb 28, 2022 | 168,917.00 |
| Nov 30, 2021 | 177,909.00 |
Rocky Mountain Chocolate Factory Depreciation and Depletion 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=depreciation-and-depletion&ticker=RMCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=RMCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();