Mitek Systems (MITK) Total Current Liabilities (2010 - 2026)
Mitek Systems (MITK) posted Total Current Liabilities of $61.18 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 69.2% from $198.8 million a year earlier but up 2.1% from the prior quarter.
Mitek Systems (MITK) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Mitek Systems' Total Current Liabilities came in at $209.03 million, up 396.0% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 53.7% (FY2020 to FY2025).
- In prior fiscal years, Mitek Systems' Total Current Liabilities was $42.15 million in FY2024 (-18.2%), $51.5 million in FY2023 (+6.3%), $48.46 million in FY2022 (+23.6%) and $39.21 million in FY2021 (+61.0%).
- Quarterly Total Current Liabilities has run from a low of $32.77 million in fiscal Q1 2022 to a high of $209.03 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Total Current Liabilities increased in four of the last eight quarters, with growth averaging 166.3%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q1 2026, with growth of 426.9%; the weakest was fiscal Q2 2026, with a decline of 69.3%.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $59.94 million (Q2 2026), $203.11 million (Q1 2026) and $209.03 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.40 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 13.13 Bn |
| 10 | Mitek Systems | 776.80 Mn | 216.42 Mn | 45.86 Mn | 61.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.18 Mn |
| Mar 31, 2026 | 59.94 Mn |
| Dec 31, 2025 | 203.11 Mn |
| Sep 30, 2025 | 209.03 Mn |
| Jun 30, 2025 | 198.80 Mn |
| Mar 31, 2025 | 195.56 Mn |
| Dec 31, 2024 | 38.55 Mn |
| Sep 30, 2024 | 42.15 Mn |
| Jun 30, 2024 | 43.91 Mn |
| Mar 31, 2024 | 47.26 Mn |
| Dec 31, 2023 | 39.60 Mn |
| Sep 30, 2023 | 51.50 Mn |
| Jun 30, 2023 | 53.69 Mn |
| Mar 31, 2023 | 45.31 Mn |
| Dec 31, 2022 | 42.36 Mn |
| Sep 30, 2022 | 48.46 Mn |
| Jun 30, 2022 | 44.91 Mn |
| Mar 31, 2022 | 40.74 Mn |
| Dec 31, 2021 | 32.77 Mn |
| Sep 30, 2021 | 39.21 Mn |
Mitek Systems Total 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-current-liabilities&ticker=MITK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=MITK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();