Mitek Systems (MITK) Total Non-Current Liabilities (2010 - 2026)
Mitek Systems (MITK) recorded Total Non-Current Liabilities of $111.04 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 45.7% from $204.6 million a year earlier but up 0.2% from the prior quarter.
Mitek Systems (MITK) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Mitek Systems reported Total Non-Current Liabilities of $212.49 million, up 9.2% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 42.7% (FY2020 to FY2025).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $194.62 million in FY2024 (-1.4%), $197.31 million in FY2023 (+2.8%), $191.89 million in FY2022 (+7.4%) and $178.66 million in FY2021 (+397.2%).
- Quarterly Total Non-Current Liabilities has ranged from $110.85 million in fiscal Q2 2026 to $212.49 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in five of the last eight quarters, with an average decline of 8.3%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 404.3% in fiscal Q1 2022, against a decline of 45.7% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $110.85 million (Q2 2026), $206 million (Q1 2026) and $212.49 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.68 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Mitek Systems | 776.80 Mn | 216.42 Mn | 45.86 Mn | 111.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.04 Mn |
| Mar 31, 2026 | 110.85 Mn |
| Dec 31, 2025 | 206.00 Mn |
| Sep 30, 2025 | 212.49 Mn |
| Jun 30, 2025 | 204.60 Mn |
| Mar 31, 2025 | 200.82 Mn |
| Dec 31, 2024 | 190.90 Mn |
| Sep 30, 2024 | 194.62 Mn |
| Jun 30, 2024 | 195.80 Mn |
| Mar 31, 2024 | 197.05 Mn |
| Dec 31, 2023 | 187.69 Mn |
| Sep 30, 2023 | 197.31 Mn |
| Jun 30, 2023 | 207.60 Mn |
| Mar 31, 2023 | 196.69 Mn |
| Dec 31, 2022 | 191.98 Mn |
| Sep 30, 2022 | 191.89 Mn |
| Jun 30, 2022 | 196.48 Mn |
| Mar 31, 2022 | 192.38 Mn |
| Dec 31, 2021 | 172.75 Mn |
| Sep 30, 2021 | 178.66 Mn |
Mitek Systems Total Non-Current 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-non-current-liabilities&ticker=MITK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MITK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();