Micromem Technologies (MMTIF) Selling, General & Administrative (2009 - 2026)
Micromem Technologies (MMTIF) recorded Selling, General & Administrative of $26,703 in fiscal Q2 2026 (quarter ended Apr 30, 2026), down 57.5% from $62,773 a year earlier and down 2.9% from the prior quarter.
Micromem Technologies (MMTIF) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Micromem Technologies' Selling, General & Administrative came in at $175,391 as of Apr 30, 2026, up 9.2% year-over-year; for FY2019 (ended Jan 31, 2019), it came in at $53.00, down 60.4% from FY2018.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of -82.3% (FY2014 to FY2019).
- Across earlier fiscal years, Selling, General & Administrative came in at $134.00 in FY2018, $305,421 in FY2017 (-22.7%), $395,340 in FY2016 (+1.5%) and $389,647 in FY2015 (+28.6%).
- The fiscal Q2 2026 figure is the lowest quarterly Selling, General & Administrative since fiscal Q1 2023.
- On a year-over-year basis, Selling, General & Administrative rose in two of the last six quarters, with growth averaging 13.1%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 97.5% in fiscal Q2 2025, against a decline of 100.0% in fiscal Q1 2022 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,095.71 Bn | 4,843.20 Bn | 54.77 Bn | 7.35 Bn |
| 2 | Cisco Systems | 420.76 Bn | 356.69 Bn | 11.06 Bn | 679.00 Mn |
| 3 | Dell Technologies | 294.70 Bn | 250.46 Bn | 9.83 Bn | 3.34 Bn |
| 4 | Arista Networks | 216.89 Bn | 170.35 Bn | 1.91 Bn | 33.80 Mn |
| 5 | Sandisk | 181.88 Bn | 170.41 Bn | 7.58 Bn | 197.00 Mn |
| 6 | Sony | 156.03 Bn | 93.29 Bn | 6.53 Bn | 3.57 Bn |
| 7 | Seagate Technology Holdings | 138.41 Bn | 133.40 Bn | 1.90 Bn | 147.00 Mn |
| 8 | Western Digital | 119.10 Bn | 107.23 Bn | 2.03 Bn | 138.00 Mn |
| 9 | Hewlett Packard Enterprise | 75.83 Bn | 53.71 Bn | 4.93 Bn | 1.96 Bn |
| 10 | Micromem Technologies | 7.67 Mn | 6.98 Mn | - | 26,703.00 |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 26,703.00 |
| Jan 31, 2026 | 27,500.00 |
| Jul 31, 2025 | 58,415.00 |
| Apr 30, 2025 | 62,773.00 |
| Jan 31, 2025 | 29,540.00 |
| Jul 31, 2024 | 36,485.00 |
| Apr 30, 2024 | 31,791.00 |
| Jan 31, 2024 | 30,576.00 |
| Jul 31, 2023 | 40,957.00 |
| Apr 30, 2023 | 45,544.00 |
| Jan 31, 2023 | 26,414.00 |
| Jul 31, 2022 | 44,816.00 |
| Apr 30, 2022 | 69,129.00 |
| Jan 31, 2022 | 43,001.00 |
| Jul 31, 2021 | 31,506.00 |
| Apr 30, 2021 | 48,436.00 |
| Jan 31, 2021 | 17,365.00 |
| Jul 31, 2020 | 25,536.00 |
| Apr 30, 2020 | 32,414.00 |
| Jan 31, 2020 | 23,270.00 |
Micromem Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=MMTIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MMTIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();