Rocky Mountain Chocolate Factory (RMCF) Total Current Liabilities (2014 - 2026)
Rocky Mountain Chocolate Factory (RMCF) recorded Total Current Liabilities of $6.68 million in fiscal Q1 2027 (quarter ended May 31, 2026), up 8.5% from $6.16 million a year earlier but down 1.5% from the prior quarter.
Rocky Mountain Chocolate Factory (RMCF) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Rocky Mountain Chocolate Factory reported Total Current Liabilities of $6.79 million, down 1.2% from FY2025.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 12.4% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $6.87 million in FY2025 (-14.9%), $8.07 million in FY2024 (+61.1%), $5.01 million in FY2023 (-5.7%) and $5.31 million in FY2022 (+40.5%).
- Quarterly Total Current Liabilities has ranged from $4.34 million in fiscal Q3 2025 to $8.85 million in fiscal Q2 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in three of the last eight quarters, with an average decline of 1.6%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 74.5% in fiscal Q1 2025, against a decline of 49.7% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.79 million (Q4 2026), $5.46 million (Q3 2026) and $6.65 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 33.58 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 21.59 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 3.35 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 8.72 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 6.94 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 3.57 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 2.29 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 1.87 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 2.20 Bn |
| 10 | Rocky Mountain Chocolate Factory | 7.99 Mn | 3.50 Mn | 1.41 Mn | 6.68 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 6.68 Mn |
| Feb 28, 2026 | 6.79 Mn |
| Nov 30, 2025 | 5.46 Mn |
| Aug 31, 2025 | 6.65 Mn |
| May 31, 2025 | 6.16 Mn |
| Feb 28, 2025 | 6.87 Mn |
| Nov 30, 2024 | 4.34 Mn |
| Aug 31, 2024 | 8.85 Mn |
| May 31, 2024 | 8.37 Mn |
| Feb 29, 2024 | 8.07 Mn |
| Nov 30, 2023 | 7.08 Mn |
| Aug 31, 2023 | 5.58 Mn |
| May 31, 2023 | 4.79 Mn |
| Feb 28, 2023 | 5.01 Mn |
| Nov 30, 2022 | 6.14 Mn |
| Aug 31, 2022 | 7.47 Mn |
| May 31, 2022 | 5.70 Mn |
| Feb 28, 2022 | 5.31 Mn |
| Nov 30, 2021 | 6.12 Mn |
| Aug 31, 2021 | 5.02 Mn |
Rocky Mountain Chocolate Factory Total Current 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-current-liabilities&ticker=RMCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=RMCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();