Mitek Systems (MITK) Total Liabilities (2010 - 2026)
Mitek Systems (MITK) reported Total Liabilities of $117.53 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 43.8% from $209.12 million a year earlier but up 0.1% from the prior quarter.
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Analysis
Mitek Systems (MITK) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Mitek Systems posted Total Liabilities of $218.85 million, up 10.0% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 42.8% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $198.95 million in FY2024 (-0.6%), $200.19 million in FY2023 (+3.5%), $193.5 million in FY2022 (-14.7%) and $226.86 million in FY2021 (+514.6%).
- Five-year quarterly Total Liabilities spans a low of $117.47 million in fiscal Q2 2026 and a high of $226.86 million in fiscal Q4 2021.
- Year over year, Total Liabilities gained in five of the last eight quarters, with an average decline of 7.4%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2021 (growth of 514.6%); the low point was fiscal Q3 2026 (a decline of 43.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $117.47 million (Q2 2026), $212.8 million (Q1 2026) and $218.85 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Mitek Systems | 776.80 Mn | 216.42 Mn | 45.86 Mn | 117.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117.53 Mn |
| Mar 31, 2026 | 117.47 Mn |
| Dec 31, 2025 | 212.80 Mn |
| Sep 30, 2025 | 218.85 Mn |
| Jun 30, 2025 | 209.12 Mn |
| Mar 31, 2025 | 205.13 Mn |
| Dec 31, 2024 | 195.04 Mn |
| Sep 30, 2024 | 198.95 Mn |
| Jun 30, 2024 | 199.59 Mn |
| Mar 31, 2024 | 200.88 Mn |
| Dec 31, 2023 | 191.59 Mn |
| Sep 30, 2023 | 200.19 Mn |
| Jun 30, 2023 | 209.17 Mn |
| Mar 31, 2023 | 198.27 Mn |
| Dec 31, 2022 | 193.75 Mn |
| Sep 30, 2022 | 193.50 Mn |
| Jun 30, 2022 | 198.31 Mn |
| Mar 31, 2022 | 198.84 Mn |
| Dec 31, 2021 | 215.57 Mn |
| Sep 30, 2021 | 226.86 Mn |
API Access
Mitek Systems Total Liabilities 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=total-liabilities&ticker=MITK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MITK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();