Micromem Technologies (MMTIF) EV to EBITDA (2009 - 2025)
Micromem Technologies' (MMTIF) EV to EBITDA stood at -307.61 in fiscal Q2 2025 (quarter ended Apr 30, 2025), compared with 4.73 a year earlier.
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Analysis
Micromem Technologies (MMTIF) EV to EBITDA (2009 - 2025) Analysis & Trends
On a TTM basis, Micromem Technologies' EV to EBITDA came in at -469.06 as of Apr 30, 2025; for FY2017 (ended Oct 31, 2017), it came in at -2862.78.
- Across earlier fiscal years, EV to EBITDA came in at 8.38 in FY2016 (-30.9%), 12.13 in FY2015 (-57.7%), 28.71 in FY2014 (+26.8%) and 22.64 in FY2013 (+164.4%).
- Quarterly EV to EBITDA has ranged from -612.48 in fiscal Q1 2025 to 6.67 in fiscal Q2 2022 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,973.70 Bn | 4,721.19 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.27 Bn | 357.20 Bn | 11.06 Bn |
| 3 | Dell Technologies | 297.70 Bn | 253.45 Bn | 9.83 Bn |
| 4 | Arista Networks | 229.14 Bn | 182.59 Bn | 1.91 Bn |
| 5 | Sandisk | 200.83 Bn | 189.36 Bn | 7.58 Bn |
| 6 | Sony | 150.33 Bn | 87.59 Bn | 6.53 Bn |
| 7 | Seagate Technology Holdings | 147.86 Bn | 142.86 Bn | 1.90 Bn |
| 8 | Western Digital | 125.50 Bn | 113.63 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 74.88 Bn | 52.76 Bn | 4.93 Bn |
| 10 | Micromem Technologies | 6.30 Mn | 5.61 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2025 | -266.55 |
| Jan 31, 2025 | -257.96 |
| Jul 31, 2024 | 7.68 |
| Apr 30, 2024 | 5.04 |
| Apr 30, 2022 | 6.65 |
| Oct 31, 2021 | 0.00 |
| Jul 31, 2021 | 0.00 |
| Apr 30, 2021 | 0.01 |
| Jan 31, 2021 | 0.00 |
| Jul 31, 2018 | 1,985.51 |
| Apr 30, 2018 | 164.13 |
| Oct 31, 2017 | -6,739.47 |
| Jul 31, 2017 | -5.26 |
| Apr 30, 2017 | 2.49 |
| Jan 31, 2017 | -2.50 |
| Oct 31, 2016 | 8.41 |
| Jul 31, 2016 | -3.38 |
| Apr 30, 2016 | 7.95 |
| Jan 31, 2016 | -16.19 |
| Oct 31, 2015 | 12.01 |
API Access
Micromem Technologies EV to EBITDA 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=ev-to-ebitda&ticker=MMTIF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=MMTIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();