Rocky Mountain Chocolate Factory (RMCF) Total Liabilities (2014 - 2026)
Rocky Mountain Chocolate Factory's Total Liabilities was $15.12 million in fiscal Q1 2027 (quarter ended May 31, 2026), up 13.1% from $13.36 million a year earlier and up 0.9% from the prior quarter.
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Analysis
Rocky Mountain Chocolate Factory (RMCF) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Total Liabilities at Rocky Mountain Chocolate Factory came in at $14.98 million, up 5.5% from FY2025.
- Total Liabilities has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 20.2% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $14.2 million in FY2025 (+42.8%), $9.94 million in FY2024 (+30.5%), $7.62 million in FY2023 (+1.8%) and $7.48 million in FY2022 (+25.0%).
- Quarterly Total Liabilities has moved between $4.8 million (fiscal Q3 2023) and $16.13 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for 11 straight quarters, with growth averaging 30.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q3 2024 (growth of 87.4%); the worst was fiscal Q2 2022 (a decline of 43.6%).
- Per Business Quant data, RMCF's Total Liabilities in the three fiscal quarters before Q1 2027 was $14.98 million (Q4 2026), $14.72 million (Q3 2026) and $16.13 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 68.14 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 22.81 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 8.90 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 10.45 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Rocky Mountain Chocolate Factory | 7.99 Mn | 3.50 Mn | 1.41 Mn | 15.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 15.12 Mn |
| Feb 28, 2026 | 14.98 Mn |
| Nov 30, 2025 | 14.72 Mn |
| Aug 31, 2025 | 16.13 Mn |
| May 31, 2025 | 13.36 Mn |
| Feb 28, 2025 | 14.20 Mn |
| Nov 30, 2024 | 11.80 Mn |
| Aug 31, 2024 | 10.61 Mn |
| May 31, 2024 | 10.00 Mn |
| Feb 29, 2024 | 9.94 Mn |
| Nov 30, 2023 | 9.00 Mn |
| Aug 31, 2023 | 7.66 Mn |
| May 31, 2023 | 7.05 Mn |
| Feb 28, 2023 | 7.62 Mn |
| Nov 30, 2022 | 4.80 Mn |
| Aug 31, 2022 | 10.33 Mn |
| May 31, 2022 | 8.08 Mn |
| Feb 28, 2022 | 7.48 Mn |
| Nov 30, 2021 | 8.38 Mn |
| Aug 31, 2021 | 7.40 Mn |
API Access
Rocky Mountain Chocolate Factory Total Liabilities 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=total-liabilities&ticker=RMCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RMCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();