Mitek Systems (MITK) Accumulated Expenses (2019 - 2026)
Mitek Systems' Accumulated Expenses came in at $627,000 for fiscal Q2 2026 (quarter ended Mar 31, 2026), up 69.0% from $371,000 a year earlier and up 155.9% from the prior quarter.
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Analysis
Mitek Systems (MITK) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Mitek Systems' Accumulated Expenses was $343,000, down 19.1% from FY2024.
- Accumulated Expenses carries a four-year compound annual growth rate of -8.1% (FY2021 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $424,000 in FY2024 (+28.1%), $331,000 in FY2023 (-70.0%), $1.1 million in FY2022 (+129.8%) and $480,000 in FY2021.
- The fiscal Q2 2026 figure represents the highest quarterly Accumulated Expenses since fiscal Q1 2025.
- Year-over-year, Accumulated Expenses increased in four of the last eight quarters, with growth averaging 6.8%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q4 2022 (growth of 129.8%), and the weakest in fiscal Q2 2024 (a decline of 87.7%).
- Business Quant data shows MITK's Accumulated Expenses at $245,000 (Q1 2026), $343,000 (Q4 2025) and $426,000 (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn |
| 10 | Mitek Systems | 835.90 Mn | 275.52 Mn | 45.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 627,000.00 |
| Dec 31, 2025 | 245,000.00 |
| Sep 30, 2025 | 343,000.00 |
| Jun 30, 2025 | 426,000.00 |
| Mar 31, 2025 | 371,000.00 |
| Dec 31, 2024 | 1.01 Mn |
| Sep 30, 2024 | 424,000.00 |
| Jun 30, 2024 | 542,000.00 |
| Mar 31, 2024 | 210,000.00 |
| Dec 31, 2023 | 598,000.00 |
| Sep 30, 2023 | 331,000.00 |
| Jun 30, 2023 | 1.90 Mn |
| Mar 31, 2023 | 1.71 Mn |
| Dec 31, 2022 | 2.02 Mn |
| Sep 30, 2022 | 1.10 Mn |
| Jun 30, 2022 | 5.82 Mn |
| Mar 31, 2022 | 6.25 Mn |
| Sep 30, 2021 | 480,000.00 |
| Jun 30, 2020 | 220,000.00 |
| Mar 31, 2020 | 333,000.00 |
API Access
Mitek Systems Accumulated 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=accumulated-expenses&ticker=MITK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=MITK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();