Okta (OKTA) Operating Expenses (2016 - 2026)
Okta (OKTA) reported Operating Expenses of $534 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.9% from $519 million a year earlier but down 0.9% from the prior quarter.
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Analysis
Okta (OKTA) Operating Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Okta's Operating Expenses came in at $2.17 billion, up 5.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $2.11 billion, up 2.1% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 20.8% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $2.07 billion in FY2025 (-6.0%), $2.2 billion in FY2024 (+3.5%), $2.12 billion in FY2023 (+27.0%) and $1.67 billion in FY2022 (+103.7%).
- Five-year quarterly Operating Expenses spans a low of $439.56 million in fiscal Q3 2022 and a high of $569 million in fiscal Q2 2024.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 1.3% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2022 (growth of 110.8%); the low point was fiscal Q2 2025 (a decline of 10.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $539 million (Q1 2027), $547 million (Q4 2026) and $549 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn | 541.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 534.00 Mn |
| Apr 30, 2026 | 539.00 Mn |
| Jan 31, 2026 | 547.00 Mn |
| Oct 31, 2025 | 549.00 Mn |
| Jul 31, 2025 | 519.00 Mn |
| Apr 30, 2025 | 494.00 Mn |
| Jan 31, 2025 | 516.00 Mn |
| Oct 31, 2024 | 524.00 Mn |
| Jul 31, 2024 | 510.00 Mn |
| Apr 30, 2024 | 516.00 Mn |
| Jan 31, 2024 | 543.00 Mn |
| Oct 31, 2023 | 550.00 Mn |
| Jul 31, 2023 | 569.00 Mn |
| Apr 30, 2023 | 536.00 Mn |
| Jan 31, 2023 | 528.00 Mn |
| Oct 31, 2022 | 550.00 Mn |
| Jul 31, 2022 | 522.00 Mn |
| Apr 30, 2022 | 524.00 Mn |
| Jan 31, 2022 | 479.04 Mn |
| Oct 31, 2021 | 439.56 Mn |
API Access
Okta Operating Expenses 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-expenses&ticker=OKTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OKTA", "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-expenses&ticker=OKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();