Mitek Systems (MITK) Change in Accured Expenses (2010 - 2026)
Mitek Systems (MITK) recorded Change in Accured Expenses of $2.79 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), unchanged from $2.79 million a year earlier and up 114.0% from the prior quarter.
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Analysis
Mitek Systems (MITK) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Mitek Systems' Change in Accured Expenses came in at $296,000 as of Jun 30, 2026, down 92.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $6.36 million.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 22.1% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Accured Expenses came in at $240,000 in FY2024, $18,000 in FY2023, -$2.2 million in FY2022 and $2.69 million in FY2021 (+14.7%).
- Quarterly Change in Accured Expenses has ranged from -$6.21 million in fiscal Q1 2026 to $3.69 million in fiscal Q2 2025 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last four quarters, with growth averaging 22.0%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 149.3% in fiscal Q4 2023, against a decline of 80.2% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.3 million (Q2 2026), -$6.21 million (Q1 2026) and $2.42 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Mitek Systems | 800.71 Mn | 240.33 Mn | 45.86 Mn | 2.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.79 Mn |
| Mar 31, 2026 | 1.30 Mn |
| Dec 31, 2025 | -6.21 Mn |
| Sep 30, 2025 | 2.42 Mn |
| Jun 30, 2025 | 2.79 Mn |
| Mar 31, 2025 | 3.69 Mn |
| Dec 31, 2024 | -2.53 Mn |
| Sep 30, 2024 | -9,000.00 |
| Jun 30, 2024 | 1.31 Mn |
| Mar 31, 2024 | 2.65 Mn |
| Dec 31, 2023 | -3.70 Mn |
| Sep 30, 2023 | 1.12 Mn |
| Jun 30, 2023 | 1.63 Mn |
| Mar 31, 2023 | 1.45 Mn |
| Dec 31, 2022 | -4.17 Mn |
| Sep 30, 2022 | 448,000.00 |
| Jun 30, 2022 | 2.05 Mn |
| Mar 31, 2022 | -175,000.00 |
| Dec 31, 2021 | -4.52 Mn |
| Sep 30, 2021 | 2.26 Mn |
API Access
Mitek Systems Change in Accured 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=change-in-accured-expenses&ticker=MITK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MITK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();