Mitek Systems (MITK) Other Accumulated Expenses (2009 - 2026)
Mitek Systems (MITK) recorded Other Accumulated Expenses of $1.3 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 71.5% from $4.55 million a year earlier but up 25.1% from the prior quarter.
Mitek Systems (MITK) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Mitek Systems reported Other Accumulated Expenses of $3.47 million, up 63.3% from FY2024.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 27.8% (FY2020 to FY2025).
- Across earlier fiscal years, Other Accumulated Expenses came in at $2.13 million in FY2024 (+46.1%), $1.46 million in FY2023 (-39.4%), $2.4 million in FY2022 (+124.1%) and $1.07 million in FY2021 (+5.1%).
- Quarterly Other Accumulated Expenses has ranged from $1.04 million in fiscal Q2 2026 to $6.58 million in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses rose in five of the last eight quarters, with growth averaging 71.7%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 272.2% in fiscal Q1 2026, against a decline of 71.5% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.04 million (Q2 2026), $6.58 million (Q1 2026) and $3.47 million (Q4 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.30 Mn |
| Mar 31, 2026 | 1.04 Mn |
| Dec 31, 2025 | 6.58 Mn |
| Sep 30, 2025 | 3.47 Mn |
| Jun 30, 2025 | 4.55 Mn |
| Mar 31, 2025 | 3.25 Mn |
| Dec 31, 2024 | 1.77 Mn |
| Sep 30, 2024 | 2.13 Mn |
| Jun 30, 2024 | 1.58 Mn |
| Mar 31, 2024 | 1.32 Mn |
| Dec 31, 2023 | 1.82 Mn |
| Sep 30, 2023 | 1.46 Mn |
| Jun 30, 2023 | 1.52 Mn |
| Mar 31, 2023 | 1.33 Mn |
| Dec 31, 2022 | 1.44 Mn |
| Sep 30, 2022 | 2.40 Mn |
| Jun 30, 2022 | 1.86 Mn |
| Mar 31, 2022 | 3.02 Mn |
| Dec 31, 2021 | 1.65 Mn |
| Sep 30, 2021 | 1.07 Mn |
Mitek Systems Other 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=other-accumulated-expenses&ticker=MITK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=MITK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();