Okta (OKTA) Return on Sales [ROS] (2016 - 2026)
Okta's Return on Sales [ROS] was 13.29% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 7.66 percentage points from 5.63% a year earlier and up 5.97 percentage points from the prior quarter.
Okta (OKTA) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Okta's Return on Sales [ROS] was 7.55% through Jul 31, 2026, up 4.94 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 5.10%, up 7.94 percentage points from FY2025.
- Return on Sales [ROS] has now increased for four consecutive fiscal years, with a five-year change of +29.54 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was -2.84% in FY2025 (+19.97 pp), -22.80% in FY2024 (+20.90 pp), -43.70% in FY2023 (+15.37 pp) and -59.08% in FY2022 (-34.65 pp).
- The fiscal Q2 2027 figure marks the highest quarterly Return on Sales [ROS] in data going back to fiscal Q1 2017.
- Compared with a year earlier, Return on Sales [ROS] has increased for 17 straight quarters, with an average year-over-year change of +9.13 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q2 2023 (a gain of 37.48 percentage points); the worst was fiscal Q4 2022 (a drop of 33.02 percentage points).
- Per Business Quant data, OKTA's Return on Sales [ROS] in the three fiscal quarters before Q2 2027 was 7.32% (Q1 2027), 6.04% (Q4 2026) and 3.10% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 0.49% |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 5.17% |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 3.68% |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 13.29% |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 9.62% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 13.29% |
| Apr 30, 2026 | 7.32% |
| Jan 31, 2026 | 6.04% |
| Oct 31, 2025 | 3.10% |
| Jul 31, 2025 | 5.63% |
| Apr 30, 2025 | 5.67% |
| Jan 31, 2025 | 1.17% |
| Oct 31, 2024 | -2.41% |
| Jul 31, 2024 | -2.94% |
| Apr 30, 2024 | -7.62% |
| Jan 31, 2024 | -13.72% |
| Oct 31, 2023 | -19.01% |
| Jul 31, 2023 | -29.14% |
| Apr 30, 2023 | -30.89% |
| Jan 31, 2023 | -30.78% |
| Oct 31, 2022 | -43.04% |
| Jul 31, 2022 | -46.02% |
| Apr 30, 2022 | -57.83% |
| Jan 31, 2022 | -56.25% |
| Oct 31, 2021 | -56.62% |
Okta Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=OKTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=OKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();