Okta (OKTA) Total Liabilities (2017 - 2026)
Okta's Total Liabilities came in at $2.17 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 22.6% from $2.8 billion a year earlier and down 11.6% from the prior quarter.
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Analysis
Okta (OKTA) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Okta's Total Liabilities was $2.71 billion, down 10.6% from FY2025.
- Total Liabilities has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 0.8% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $3.03 billion in FY2025 (-2.2%), $3.1 billion in FY2024 (-19.3%), $3.84 billion in FY2023 (+17.0%) and $3.28 billion in FY2022 (+26.0%).
- The fiscal Q2 2027 figure represents the lowest quarterly Total Liabilities since fiscal Q1 2021.
- Year-over-year, Total Liabilities has declined for 14 consecutive quarters, with an average decline of 10.4% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q1 2023 (growth of 30.0%), and the weakest in fiscal Q2 2027 (a decline of 22.6%).
- Business Quant data shows OKTA's Total Liabilities at $2.45 billion (Q1 2027), $2.71 billion (Q4 2026) and $2.34 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 3.81 Bn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 797.71 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 2.17 Bn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 5.27 Bn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 27.69 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.17 Bn |
| Apr 30, 2026 | 2.45 Bn |
| Jan 31, 2026 | 2.71 Bn |
| Oct 31, 2025 | 2.34 Bn |
| Jul 31, 2025 | 2.80 Bn |
| Apr 30, 2025 | 2.80 Bn |
| Jan 31, 2025 | 3.03 Bn |
| Oct 31, 2024 | 2.75 Bn |
| Jul 31, 2024 | 2.93 Bn |
| Apr 30, 2024 | 3.00 Bn |
| Jan 31, 2024 | 3.10 Bn |
| Oct 31, 2023 | 3.01 Bn |
| Jul 31, 2023 | 3.07 Bn |
| Apr 30, 2023 | 3.37 Bn |
| Jan 31, 2023 | 3.84 Bn |
| Oct 31, 2022 | 3.69 Bn |
| Jul 31, 2022 | 3.62 Bn |
| Apr 30, 2022 | 3.57 Bn |
| Jan 31, 2022 | 3.28 Bn |
| Oct 31, 2021 | 3.01 Bn |
API Access
Okta Total 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-liabilities&ticker=OKTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=OKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();