IMA Tech (IMAA) Operating Expenses (2023 - 2026)
IMA Tech (IMAA) recorded Operating Expenses of $14,433 in fiscal Q3 2026 (quarter ended Jan 31, 2026), down 44.4% from $25,944 a year earlier and down 78.7% from the prior quarter.
IMA Tech (IMAA) Operating Expenses (2023 - 2026) Analysis & Trends
On a TTM basis, IMA Tech's Operating Expenses came in at $147,111 as of Jan 31, 2026, up 78.9% year-over-year; for FY2025 (ended Apr 30, 2025), it came in at $110,445, up 185.9% from FY2024.
- Across earlier fiscal years, Operating Expenses came in at $38,635 in FY2024 and $31.00 in FY2023.
- The fiscal Q3 2026 figure is the lowest quarterly Operating Expenses since fiscal Q4 2024.
- On a year-over-year basis, Operating Expenses rose in six of the last seven quarters, with growth averaging 128.5%.
- Per Business Quant, the preceding three fiscal quarters came in at $67,663 (Q2 2026), $25,262 (Q1 2026) and $39,753 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 534.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 499.67 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 4.17 Bn |
| 10 | IMA Tech | 52,197.56 | 34,764.56 | - | 14,433.00 |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 14,433.00 |
| Oct 31, 2025 | 67,663.00 |
| Jul 31, 2025 | 25,262.00 |
| Apr 30, 2025 | 39,753.00 |
| Jan 31, 2025 | 25,944.00 |
| Oct 31, 2024 | 22,856.00 |
| Jul 31, 2024 | 21,820.00 |
| Apr 30, 2024 | 11,632.00 |
| Jan 31, 2024 | 8,459.00 |
| Oct 31, 2023 | 8,825.00 |
| Jul 31, 2023 | 9,719.00 |
IMA Tech 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=IMAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IMAA", "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=IMAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();