Mitek Systems (MITK) Operating Margin (2010 - 2026)
Mitek Systems (MITK) recorded Operating Margin of 21.36% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 13.03 percentage points from 8.33% a year earlier but down 3.34 percentage points from the prior quarter.
Mitek Systems (MITK) Operating Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Mitek Systems' Operating Margin came in at 17.80% as of Jun 30, 2026, up 6.67 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 9.34%, up 8.05 percentage points from FY2024.
- Annual Operating Margin has a five-year change of +0.59 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Operating Margin came in at 1.30% in FY2024 (-7.72 pp), 9.02% in FY2023 (+0.59 pp), 8.43% in FY2022 (-2.66 pp) and 11.08% in FY2021 (+2.33 pp).
- Quarterly Operating Margin has ranged from -18.73% in fiscal Q1 2024 to 24.71% in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Operating Margin has increased for three consecutive quarters, with an average year-over-year change of +11.65 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 26.58 percentage points in fiscal Q4 2024, against a drop of 37.05 percentage points in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 24.71% (Q2 2026), 12.30% (Q1 2026) and 10.47% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 0.49% |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 5.17% |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 13.29% |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 9.66% |
| 10 | Mitek Systems | 776.80 Mn | 216.42 Mn | 45.86 Mn | 21.36% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.36% |
| Mar 31, 2026 | 24.71% |
| Dec 31, 2025 | 12.30% |
| Sep 30, 2025 | 10.47% |
| Jun 30, 2025 | 8.33% |
| Mar 31, 2025 | 21.89% |
| Dec 31, 2024 | -8.25% |
| Sep 30, 2024 | 17.85% |
| Jun 30, 2024 | 1.63% |
| Mar 31, 2024 | 1.49% |
| Dec 31, 2023 | -18.73% |
| Sep 30, 2023 | -8.73% |
| Jun 30, 2023 | 4.16% |
| Mar 31, 2023 | 18.83% |
| Dec 31, 2022 | 18.32% |
| Sep 30, 2022 | 9.59% |
| Jun 30, 2022 | 2.28% |
| Mar 31, 2022 | 8.00% |
| Dec 31, 2021 | 14.87% |
| Sep 30, 2021 | 11.80% |
Mitek Systems Operating Margin 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-margin&ticker=MITK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=MITK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();