Okta (OKTA) Research & Development (2016 - 2026)
Okta's Research & Development came in at $163 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 1.9% from $160 million a year earlier and unchanged from the prior quarter.
Okta (OKTA) Research & Development (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Okta reported Research & Development of $651 million, up 3.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $639 million, down 0.5% from FY2025.
- Research & Development carries a five-year compound annual growth rate of 23.4% (FY2021 to FY2026).
- Going back by fiscal year, Research & Development was $642 million in FY2025 (-2.1%), $656 million in FY2024 (+5.8%), $620 million in FY2023 (+32.2%) and $469 million in FY2022 (+110.3%).
- The five-year range for quarterly Research & Development is $130.54 million (fiscal Q3 2022) to $172 million (fiscal Q2 2024).
- Year-over-year, Research & Development has increased for four consecutive quarters, with growth averaging 0.3% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in fiscal Q4 2022 (growth of 135.5%), and the weakest in fiscal Q1 2026 (a decline of 5.5%).
- Business Quant data shows OKTA's Research & Development at $163 million (Q1 2027), $165 million (Q4 2026) and $160 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 259.94 Bn | 245.02 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 232.15 Bn | 212.55 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 124.50 Bn | 110.43 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 109.85 Bn | 97.17 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 91.33 Bn | 72.97 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Zscaler | 33.46 Bn | 19.58 Bn | - | - |
| 7 | Okta | 33.19 Bn | 23.28 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Axon Enterprise | 30.80 Bn | 25.32 Bn | 546.45 Mn | 208.69 Mn |
| 9 | MongoDB | 27.52 Bn | 17.99 Bn | 569.77 Mn | 213.87 Mn |
| 10 | F5 | 25.43 Bn | 19.84 Bn | 711.51 Mn | 164.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 163.00 Mn |
| Apr 30, 2026 | 163.00 Mn |
| Jan 31, 2026 | 165.00 Mn |
| Oct 31, 2025 | 160.00 Mn |
| Jul 31, 2025 | 160.00 Mn |
| Apr 30, 2025 | 154.00 Mn |
| Jan 31, 2025 | 157.00 Mn |
| Oct 31, 2024 | 158.00 Mn |
| Jul 31, 2024 | 164.00 Mn |
| Apr 30, 2024 | 163.00 Mn |
| Jan 31, 2024 | 156.00 Mn |
| Oct 31, 2023 | 165.00 Mn |
| Jul 31, 2023 | 172.00 Mn |
| Apr 30, 2023 | 163.00 Mn |
| Jan 31, 2023 | 154.00 Mn |
| Oct 31, 2022 | 148.00 Mn |
| Jul 31, 2022 | 156.00 Mn |
| Apr 30, 2022 | 162.00 Mn |
| Jan 31, 2022 | 147.20 Mn |
| Oct 31, 2021 | 130.54 Mn |
Okta Research & Development 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=research-and-development&ticker=OKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=OKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();