Micromem Technologies (MMTIF) Enterprise Value (2009 - 2026)
Micromem Technologies (MMTIF) recorded Enterprise Value of $12.29 million in fiscal Q2 2026 (quarter ended Apr 30, 2026), compared with -$297.62 million a year earlier and down 32.7% from the prior quarter.
Micromem Technologies (MMTIF) Enterprise Value (2009 - 2026) Analysis & Trends
On a TTM basis, Micromem Technologies' Enterprise Value came in at $11.63 million as of Apr 30, 2026; for FY2025 (ended Oct 31, 2025), it came in at $18.23 million, down 46.8% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- Across earlier fiscal years, Enterprise Value came in at $34.25 million in FY2024 (+12.0%), $30.59 million in FY2023 (+118.6%), $14 million in FY2022 (-35.3%) and $21.62 million in FY2021 (+175.0%).
- Quarterly Enterprise Value has ranged from -$297.62 million in fiscal Q2 2025 to $51.22 million in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Enterprise Value rose in two of the last four quarters, with growth averaging 17.0%.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 387.9% in fiscal Q3 2021, against a decline of 80.1% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $18.26 million (Q1 2026), $18.23 million (Q4 2025) and $28.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 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 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn |
| 10 | Micromem Technologies | 6.30 Mn | 5.61 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 12.29 Mn |
| Jan 31, 2026 | 18.26 Mn |
| Oct 31, 2025 | 18.23 Mn |
| Jul 31, 2025 | 28.46 Mn |
| Apr 30, 2025 | -297.62 Mn |
| Jan 31, 2025 | -127.35 Mn |
| Oct 31, 2024 | 34.25 Mn |
| Jul 31, 2024 | 10.13 Mn |
| Apr 30, 2024 | 10.19 Mn |
| Jan 31, 2024 | 40.80 Mn |
| Oct 31, 2023 | 30.59 Mn |
| Jul 31, 2023 | 46.58 Mn |
| Apr 30, 2023 | 51.22 Mn |
| Jan 31, 2023 | -28.97 Mn |
| Oct 31, 2022 | 14.00 Mn |
| Jul 31, 2022 | 21.72 Mn |
| Apr 30, 2022 | 17.38 Mn |
| Jan 31, 2022 | 26.04 Mn |
| Oct 31, 2021 | 21.62 Mn |
| Jul 31, 2021 | 28.03 Mn |
Micromem Technologies Enterprise Value 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=enterprise-value&ticker=MMTIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MMTIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();