Micromem Technologies (MMTIF) Non-Current Assets (2009 - 2026)
Micromem Technologies (MMTIF) recorded Non-Current Assets of $25,804 in fiscal Q2 2026 (quarter ended Apr 30, 2026), compared with -$496,897 a year earlier and down 15.4% from the prior quarter.
Micromem Technologies (MMTIF) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Micromem Technologies reported Non-Current Assets of $35,445, up 132.1% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of -10.3% (FY2020 to FY2025).
- Across earlier fiscal years, Non-Current Assets came in at $15,272 in FY2024 (-53.4%), $32,767 in FY2023 (-31.9%), $48,092 in FY2022 (+60.9%) and $29,889 in FY2021 (-51.1%).
- Quarterly Non-Current Assets has ranged from -$496,897 in fiscal Q2 2025 to $48,092 in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Non-Current Assets rose in two of the last four quarters, with growth averaging 34.3%.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 717.3% in fiscal Q3 2023, against a decline of 88.0% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $30,496 (Q1 2026), $35,445 (Q4 2025) and $40,257 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 233.45 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 90.97 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 46.85 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | 3.56 Bn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 9.73 Bn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 61.29 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 4.75 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 8.23 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 49.73 Bn |
| 10 | Micromem Technologies | 6.30 Mn | 5.61 Mn | - | 25,804.00 |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 25,804.00 |
| Jan 31, 2026 | 30,496.00 |
| Oct 31, 2025 | 35,445.00 |
| Jul 31, 2025 | 40,257.00 |
| Apr 30, 2025 | -496,897.00 |
| Jan 31, 2025 | -307,851.00 |
| Oct 31, 2024 | 15,272.00 |
| Jul 31, 2024 | 19,720.00 |
| Apr 30, 2024 | 24,359.00 |
| Jan 31, 2024 | 28,393.00 |
| Oct 31, 2023 | 32,767.00 |
| Jul 31, 2023 | 36,331.00 |
| Apr 30, 2023 | 39,466.00 |
| Jan 31, 2023 | -61,715.00 |
| Oct 31, 2022 | 48,092.00 |
| Jul 31, 2022 | 4,445.00 |
| Apr 30, 2022 | 11,630.00 |
| Jan 31, 2022 | 20,693.00 |
| Oct 31, 2021 | 29,889.00 |
| Jul 31, 2021 | 37,160.00 |
Micromem Technologies Non-Current Assets 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=non-current-assets&ticker=MMTIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=MMTIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();