Mitek Systems (MITK) Operating Leases (2019 - 2026)
Mitek Systems (MITK) posted Operating Leases of $1.4 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 33.3% from $2.1 million a year earlier and down 13.7% from the prior quarter.
Mitek Systems (MITK) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Mitek Systems' Operating Leases came in at $2.1 million, down 50.4% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of -17.0% (FY2020 to FY2025).
- In prior fiscal years, Mitek Systems' Operating Leases was $4.23 million in FY2024 (+47.5%), $2.87 million in FY2023 (-30.2%), $4.11 million in FY2022 (-37.7%) and $6.59 million in FY2021 (+23.7%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has declined in each of the last seven quarters, with an average decline of 15.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q4 2024, with growth of 47.5%; the weakest was fiscal Q4 2025, with a decline of 50.4%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $1.62 million (Q2 2026), $1.9 million (Q1 2026) and $2.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | Mitek Systems | 776.80 Mn | 216.42 Mn | 45.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.40 Mn |
| Mar 31, 2026 | 1.62 Mn |
| Dec 31, 2025 | 1.90 Mn |
| Sep 30, 2025 | 2.10 Mn |
| Jun 30, 2025 | 2.10 Mn |
| Mar 31, 2025 | 2.20 Mn |
| Dec 31, 2024 | 2.32 Mn |
| Sep 30, 2024 | 4.23 Mn |
| Jun 30, 2024 | 2.41 Mn |
| Mar 31, 2024 | 2.60 Mn |
| Dec 31, 2023 | 2.80 Mn |
| Sep 30, 2023 | 2.87 Mn |
| Jun 30, 2023 | 3.00 Mn |
| Mar 31, 2023 | 3.50 Mn |
| Dec 31, 2022 | 3.90 Mn |
| Sep 30, 2022 | 4.11 Mn |
| Jun 30, 2022 | 4.78 Mn |
| Mar 31, 2022 | 5.49 Mn |
| Dec 31, 2021 | 6.00 Mn |
| Sep 30, 2021 | 6.59 Mn |
Mitek Systems Operating Leases 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-leases&ticker=MITK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=MITK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();