Micromem Technologies (MMTIF) Total Debt (2010 - 2026)
Micromem Technologies (MMTIF) posted Total Debt of $49,059 for fiscal Q2 2026 (quarter ended Apr 30, 2026), compared with $45.00 a year earlier and up 1.1% from the prior quarter.
Micromem Technologies (MMTIF) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Micromem Technologies' Total Debt came in at $4.29 million, up 10.2% from FY2024.
- Annual Total Debt shows a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In prior fiscal years, Micromem Technologies' Total Debt was $3.9 million in FY2024 (+8.5%), $3.59 million in FY2023 (-6.4%), $3.84 million in FY2022 (+53.4%) and $2.5 million in FY2021 (-19.6%).
- Quarterly Total Debt has run from a low of $43.00 in fiscal Q1 2025 to a high of $4.29 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Total Debt increased in three of the last six quarters, with an average decline of 25.8%.
- The strongest year-over-year quarter for Total Debt in the past five years was fiscal Q3 2025, with growth of 63.8%; the weakest was fiscal Q1 2023, with a decline of 99.9%.
- According to Business Quant data, Total Debt for the three prior fiscal quarters was $48,542 (Q1 2026), $4.29 million (Q4 2025) and $46,657 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 84.34 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 29.53 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 34.47 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | - |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | - |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 7.44 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 3.57 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 1.05 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 20.24 Bn |
| 10 | Micromem Technologies | 6.30 Mn | 5.61 Mn | - | 4.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 4.68 Mn |
| Jan 31, 2026 | 4.59 Mn |
| Oct 31, 2025 | 4.38 Mn |
| Jul 31, 2025 | 4.25 Mn |
| Apr 30, 2025 | 3.98 Bn |
| Jan 31, 2025 | 3.82 Bn |
| Oct 31, 2024 | 3.94 Mn |
| Jul 31, 2024 | 4.07 Mn |
| Apr 30, 2024 | 3.86 Mn |
| Jan 31, 2024 | 3.79 Mn |
| Oct 31, 2023 | 3.63 Mn |
| Jul 31, 2023 | 3.56 Mn |
| Apr 30, 2023 | 3.63 Mn |
| Jan 31, 2023 | 3.98 Mn |
| Oct 31, 2022 | 3.87 Mn |
| Jul 31, 2022 | 3.57 Mn |
| Apr 30, 2022 | 3.15 Mn |
| Jan 31, 2022 | 2.85 Mn |
| Oct 31, 2021 | 2.50 Mn |
| Jul 31, 2021 | 3.32 Mn |
Micromem Technologies Total Debt 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-debt&ticker=MMTIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "ticker": "MMTIF", "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-debt&ticker=MMTIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();