Okta (OKTA) Other Non-Current Liabilities (2017 - 2026)
Okta's Other Non-Current Liabilities came in at $57 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 29.5% from $44 million a year earlier and up 9.6% from the prior quarter.
Okta (OKTA) Other Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Okta's Other Non-Current Liabilities was $55 million, up 41.0% from FY2025.
- Other Non-Current Liabilities has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 37.1% (FY2021 to FY2026).
- Going back by fiscal year, Other Non-Current Liabilities was $39 million in FY2025 (+30.0%), $30 million in FY2024 (+30.4%), $23 million in FY2023 (-25.8%) and $31 million in FY2022 (+172.5%).
- The fiscal Q2 2027 figure represents the highest quarterly Other Non-Current Liabilities in data going back to fiscal Q4 2017.
- Year-over-year, Other Non-Current Liabilities has increased for 14 consecutive quarters, with growth averaging 31.2% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in fiscal Q4 2022 (growth of 172.5%), and the weakest in fiscal Q3 2023 (a decline of 44.5%).
- Business Quant data shows OKTA's Other Non-Current Liabilities at $52 million (Q1 2027), $55 million (Q4 2026) and $50 million (Q3 2026) in the three fiscal quarters before Q2 2027.
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
| Date | Value |
|---|---|
| Jul 31, 2026 | 57.00 Mn |
| Apr 30, 2026 | 52.00 Mn |
| Jan 31, 2026 | 55.00 Mn |
| Oct 31, 2025 | 50.00 Mn |
| Jul 31, 2025 | 44.00 Mn |
| Apr 30, 2025 | 44.00 Mn |
| Jan 31, 2025 | 39.00 Mn |
| Oct 31, 2024 | 35.00 Mn |
| Jul 31, 2024 | 33.00 Mn |
| Apr 30, 2024 | 34.00 Mn |
| Jan 31, 2024 | 30.00 Mn |
| Oct 31, 2023 | 28.00 Mn |
| Jul 31, 2023 | 27.00 Mn |
| Apr 30, 2023 | 25.00 Mn |
| Jan 31, 2023 | 23.00 Mn |
| Oct 31, 2022 | 18.39 Mn |
| Jul 31, 2022 | 18.53 Mn |
| Apr 30, 2022 | 16.10 Mn |
| Jan 31, 2022 | 31.00 Mn |
| Oct 31, 2021 | 33.12 Mn |
Okta Other Non-Current Liabilities 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-non-current-liabilities&ticker=OKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-non-current-liabilities&ticker=OKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();