Okta (OKTA) Return on Capital Employed [ROCE] (2017 - 2026)
Okta (OKTA) reported Return on Capital Employed [ROCE] of 3.21% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.16 percentage points from 1.06% a year earlier and up 0.91 percentage points from the prior quarter.
Okta (OKTA) Return on Capital Employed [ROCE] (2017 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Okta posted Return on Capital Employed [ROCE] of 2.12%, up 3.23 percentage points from FY2025.
- Return on Capital Employed [ROCE] has increased for eight consecutive fiscal years, with a five-year change of +20.99 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Capital Employed [ROCE] came in at -1.11% in FY2025 (+5.90 pp), -7.01% in FY2024 (+3.42 pp), -10.42% in FY2023 (+4.91 pp) and -15.33% in FY2022 (+3.53 pp).
- The fiscal Q2 2027 figure ranks as the highest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q1 2018.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last 14 quarters, with an average year-over-year change of +4.22 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q4 2025 (a gain of 6.18 percentage points); the low point was fiscal Q3 2023 (a drop of 3.58 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 2.30% (Q1 2027), 2.15% (Q4 2026) and 1.54% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 0.30% |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 0.40% |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | -0.47% |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 3.21% |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | -1.83% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.21% |
| Apr 30, 2026 | 2.30% |
| Jan 31, 2026 | 2.15% |
| Oct 31, 2025 | 1.54% |
| Jul 31, 2025 | 1.06% |
| Apr 30, 2025 | 0.17% |
| Jan 31, 2025 | -1.10% |
| Oct 31, 2024 | -2.42% |
| Jul 31, 2024 | -3.54% |
| Apr 30, 2024 | -5.53% |
| Jan 31, 2024 | -7.29% |
| Oct 31, 2023 | -8.21% |
| Jul 31, 2023 | -9.33% |
| Apr 30, 2023 | -9.46% |
| Jan 31, 2023 | -10.50% |
| Oct 31, 2022 | -11.19% |
| Jul 31, 2022 | -11.02% |
| Apr 30, 2022 | -11.55% |
| Jan 31, 2022 | -9.77% |
| Oct 31, 2021 | -7.61% |
Okta Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=OKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=OKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();