Mitek Systems (MITK) Other Operating Expenses (2010 - 2026)
Mitek Systems (MITK) recorded Other Operating Expenses of $18.21 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.3% from $18.15 million a year earlier and up 0.3% from the prior quarter.
Mitek Systems (MITK) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Mitek Systems' Other Operating Expenses came in at $70.88 million as of Jun 30, 2026, up 5.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $69.14 million, up 3.3% from FY2024.
- Annual Other Operating Expenses has increased for ten straight fiscal years, with a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- Across earlier fiscal years, Other Operating Expenses came in at $66.93 million in FY2024 (+2.0%), $65.62 million in FY2023 (+8.2%), $60.65 million in FY2022 (+8.3%) and $55.99 million in FY2021 (+18.1%).
- The fiscal Q3 2026 figure is the highest quarterly Other Operating Expenses since fiscal Q3 2022.
- On a year-over-year basis, Other Operating Expenses has increased for five consecutive quarters, with growth averaging 1.9% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 62.9% in fiscal Q3 2022, against a decline of 26.2% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $18.16 million (Q2 2026), $17.07 million (Q1 2026) and $17.45 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Mitek Systems | 769.14 Mn | 208.75 Mn | 45.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.21 Mn |
| Mar 31, 2026 | 18.16 Mn |
| Dec 31, 2025 | 17.07 Mn |
| Sep 30, 2025 | 17.45 Mn |
| Jun 30, 2025 | 18.15 Mn |
| Mar 31, 2025 | 17.10 Mn |
| Dec 31, 2024 | 16.45 Mn |
| Sep 30, 2024 | 15.82 Mn |
| Jun 30, 2024 | 17.91 Mn |
| Mar 31, 2024 | 17.77 Mn |
| Dec 31, 2023 | 15.44 Mn |
| Sep 30, 2023 | 17.50 Mn |
| Jun 30, 2023 | 16.02 Mn |
| Mar 31, 2023 | 15.73 Mn |
| Dec 31, 2022 | 16.36 Mn |
| Sep 30, 2022 | 15.19 Mn |
| Jun 30, 2022 | 18.81 Mn |
| Mar 31, 2022 | 13.66 Mn |
| Dec 31, 2021 | 15.27 Mn |
| Sep 30, 2021 | 20.60 Mn |
Mitek Systems Other 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=other-operating-expenses&ticker=MITK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "MITK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=MITK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();