Okta (OKTA) Total Non-Current Liabilities (2017 - 2026)
Okta's Total Non-Current Liabilities was $2.11 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 23.4% from $2.75 billion a year earlier and down 12.0% from the prior quarter.
Okta (OKTA) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Non-Current Liabilities at Okta came in at $2.66 billion, down 11.3% from FY2025.
- Total Non-Current Liabilities has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 0.5% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $2.99 billion in FY2025 (-2.5%), $3.07 billion in FY2024 (-19.6%), $3.82 billion in FY2023 (+17.4%) and $3.25 billion in FY2022 (+25.4%).
- The fiscal Q2 2027 figure marks the lowest quarterly Total Non-Current Liabilities since fiscal Q1 2021.
- Compared with a year earlier, Total Non-Current Liabilities has declined for 14 straight quarters, with an average decline of 10.9% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q1 2023 (growth of 29.9%); the worst was fiscal Q2 2027 (a decline of 23.4%).
- Per Business Quant data, OKTA's Total Non-Current Liabilities in the three fiscal quarters before Q2 2027 was $2.4 billion (Q1 2027), $2.66 billion (Q4 2026) and $2.29 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 3.68 Bn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 770.18 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 2.11 Bn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 5.20 Bn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 12.63 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.11 Bn |
| Apr 30, 2026 | 2.40 Bn |
| Jan 31, 2026 | 2.66 Bn |
| Oct 31, 2025 | 2.29 Bn |
| Jul 31, 2025 | 2.75 Bn |
| Apr 30, 2025 | 2.75 Bn |
| Jan 31, 2025 | 2.99 Bn |
| Oct 31, 2024 | 2.71 Bn |
| Jul 31, 2024 | 2.90 Bn |
| Apr 30, 2024 | 2.97 Bn |
| Jan 31, 2024 | 3.07 Bn |
| Oct 31, 2023 | 2.98 Bn |
| Jul 31, 2023 | 3.05 Bn |
| Apr 30, 2023 | 3.34 Bn |
| Jan 31, 2023 | 3.82 Bn |
| Oct 31, 2022 | 3.67 Bn |
| Jul 31, 2022 | 3.60 Bn |
| Apr 30, 2022 | 3.56 Bn |
| Jan 31, 2022 | 3.25 Bn |
| Oct 31, 2021 | 2.98 Bn |
Okta Total 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=total-non-current-liabilities&ticker=OKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=OKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();