Okta (OKTA) Other Accumulated Expenses (2017 - 2026)
Okta (OKTA) reported Other Accumulated Expenses of $106 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 17.8% from $90 million a year earlier and up 7.1% from the prior quarter.
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Analysis
Okta (OKTA) Other Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Okta posted Other Accumulated Expenses of $104 million, up 1.0% from FY2025.
- Other Accumulated Expenses has a five-year compound annual growth rate of 14.1% (FY2021 to FY2026).
- By fiscal year, Other Accumulated Expenses came in at $103 million in FY2025 (-10.4%), $115 million in FY2024 (+2.7%), $112 million in FY2023 (+24.4%) and $90 million in FY2022 (+67.5%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Other Accumulated Expenses since fiscal Q3 2025.
- Year over year, Other Accumulated Expenses has now increased in each of the last three quarters, with an average decline of 8.4% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q3 2022 (growth of 93.4%); the low point was fiscal Q1 2026 (a decline of 42.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $99 million (Q1 2027), $104 million (Q4 2026) and $91 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 | 106.00 Mn |
| Apr 30, 2026 | 99.00 Mn |
| Jan 31, 2026 | 104.00 Mn |
| Oct 31, 2025 | 91.00 Mn |
| Jul 31, 2025 | 90.00 Mn |
| Apr 30, 2025 | 96.00 Mn |
| Jan 31, 2025 | 103.00 Mn |
| Oct 31, 2024 | 151.00 Mn |
| Jul 31, 2024 | 142.00 Mn |
| Apr 30, 2024 | 166.00 Mn |
| Jan 31, 2024 | 115.00 Mn |
| Oct 31, 2023 | 108.00 Mn |
| Jul 31, 2023 | 95.00 Mn |
| Apr 30, 2023 | 91.00 Mn |
| Jan 31, 2023 | 112.00 Mn |
| Oct 31, 2022 | 100.09 Mn |
| Jul 31, 2022 | 106.48 Mn |
| Apr 30, 2022 | 110.93 Mn |
| Jan 31, 2022 | 90.00 Mn |
| Oct 31, 2021 | 91.52 Mn |
API Access
Okta Other Accumulated 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-accumulated-expenses&ticker=OKTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=OKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();