Micromem Technologies (MMTIF) Operating Expenses (2009 - 2026)
Micromem Technologies (MMTIF) posted Operating Expenses of $99,810 for fiscal Q2 2026 (quarter ended Apr 30, 2026), down 83.2% from $595,572 a year earlier and down 73.1% from the prior quarter.
Micromem Technologies (MMTIF) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Apr 30, 2026, Operating Expenses at Micromem Technologies was $844,198, down 11.0% year-over-year; for FY2025 (ended Oct 31, 2025), it was $951,055, up 64.7% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- In prior fiscal years, Micromem Technologies' Operating Expenses was $577,278 in FY2024 (-41.9%), $993,872 in FY2023 (+26.2%), $787,342 in FY2022 (-1.6%) and $800,540 in FY2021 (+69.8%).
- The fiscal Q2 2026 figure stands as the lowest quarterly Operating Expenses since fiscal Q1 2025.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q1 2024, with growth of 43.4%; the weakest was fiscal Q1 2022, with a decline of 100.0%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $370,409 (Q1 2026), $249,938 (Q4 2025) and $124,041 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,017.45 Bn | 4,764.94 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 422.50 Bn | 358.43 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 298.96 Bn | 254.72 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 228.66 Bn | 182.11 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 201.86 Bn | 190.38 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Sony | 149.58 Bn | 86.84 Bn | 6.53 Bn | 14.83 Bn |
| 7 | Seagate Technology Holdings | 147.18 Bn | 142.18 Bn | 1.90 Bn | 2.07 Bn |
| 8 | Western Digital | 123.02 Bn | 111.15 Bn | 2.03 Bn | 465.00 Mn |
| 9 | Hewlett Packard Enterprise | 75.13 Bn | 53.01 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Micromem Technologies | 5.95 Mn | 5.26 Mn | - | 99,810.00 |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 99,810.00 |
| Jan 31, 2026 | 370,409.00 |
| Oct 31, 2025 | 249,938.00 |
| Jul 31, 2025 | 124,041.00 |
| Apr 30, 2025 | 595,572.00 |
| Jan 31, 2025 | -18,496.00 |
| Oct 31, 2024 | -17,103.00 |
| Jul 31, 2024 | 388,374.00 |
| Apr 30, 2024 | -57,375.00 |
| Jan 31, 2024 | 263,382.00 |
| Oct 31, 2023 | 228,158.00 |
| Jul 31, 2023 | 396,396.00 |
| Apr 30, 2023 | 185,638.00 |
| Jan 31, 2023 | 183,680.00 |
| Oct 31, 2022 | -97,360.00 |
| Jul 31, 2022 | 377,180.00 |
| Apr 30, 2022 | 320,234.00 |
| Jan 31, 2022 | 187,288.00 |
| Oct 31, 2021 | 486,138.00 |
| Jul 31, 2021 | 2,915.00 |
Micromem Technologies Operating Expenses 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=operating-expenses&ticker=MMTIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MMTIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();