Okta (OKTA) Other Operating Expenses (2016 - 2026)
Okta's Other Operating Expenses was $273 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 11.0% from $246 million a year earlier but down 1.8% from the prior quarter.
Powered by 
Analysis
Okta (OKTA) Other Operating Expenses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Okta's Other Operating Expenses was $1.09 billion through Jul 31, 2026, up 11.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.02 billion, up 5.5% from FY2025.
- Other Operating Expenses shows a five-year compound annual growth rate of 19.0% (FY2021 to FY2026).
- In earlier fiscal years, Other Operating Expenses was $965 million in FY2025 (-6.9%), $1.04 billion in FY2024 (-2.8%), $1.07 billion in FY2023 (+38.3%) and $771 million in FY2022 (+80.6%).
- Quarterly Other Operating Expenses has moved between $203.88 million (fiscal Q3 2022) and $290 million (fiscal Q3 2023) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for six straight quarters, with growth averaging 5.1% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q4 2022 (growth of 93.6%); the worst was fiscal Q2 2025 (a decline of 8.8%).
- Per Business Quant data, OKTA's Other Operating Expenses in the three fiscal quarters before Q2 2027 was $278 million (Q1 2027), $268 million (Q4 2026) and $271 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 273.00 Mn |
| Apr 30, 2026 | 278.00 Mn |
| Jan 31, 2026 | 268.00 Mn |
| Oct 31, 2025 | 271.00 Mn |
| Jul 31, 2025 | 246.00 Mn |
| Apr 30, 2025 | 237.00 Mn |
| Jan 31, 2025 | 235.00 Mn |
| Oct 31, 2024 | 256.00 Mn |
| Jul 31, 2024 | 238.00 Mn |
| Apr 30, 2024 | 236.00 Mn |
| Jan 31, 2024 | 249.00 Mn |
| Oct 31, 2023 | 270.00 Mn |
| Jul 31, 2023 | 261.00 Mn |
| Apr 30, 2023 | 256.00 Mn |
| Jan 31, 2023 | 259.00 Mn |
| Oct 31, 2022 | 290.00 Mn |
| Jul 31, 2022 | 265.00 Mn |
| Apr 30, 2022 | 252.00 Mn |
| Jan 31, 2022 | 222.25 Mn |
| Oct 31, 2021 | 203.88 Mn |
API Access
Okta Other 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=other-operating-expenses&ticker=OKTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=OKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();