Okta (OKTA) Total Current Liabilities (2017 - 2026)
Okta's Total Current Liabilities was $2.03 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 23.5% from $2.65 billion a year earlier and down 12.4% from the prior quarter.
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Analysis
Okta (OKTA) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Current Liabilities at Okta came in at $2.55 billion, up 1.2% from FY2025.
- Total Current Liabilities has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 10.6% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $2.52 billion in FY2025 (+41.6%), $1.78 billion in FY2024 (+21.6%), $1.47 billion in FY2023 (+17.9%) and $1.24 billion in FY2022 (-19.6%).
- The fiscal Q2 2027 figure marks the lowest quarterly Total Current Liabilities since fiscal Q2 2025.
- Compared with a year earlier, Total Current Liabilities was higher in six of the last eight quarters, with growth averaging 19.8%.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q3 2022 (growth of 72.2%); the worst was fiscal Q2 2027 (a decline of 23.5%).
- Per Business Quant data, OKTA's Total Current Liabilities in the three fiscal quarters before Q2 2027 was $2.31 billion (Q1 2027), $2.55 billion (Q4 2026) and $2.18 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 1.40 Bn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 642.37 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 2.03 Bn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 2.96 Bn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 13.13 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.03 Bn |
| Apr 30, 2026 | 2.31 Bn |
| Jan 31, 2026 | 2.55 Bn |
| Oct 31, 2025 | 2.18 Bn |
| Jul 31, 2025 | 2.65 Bn |
| Apr 30, 2025 | 2.30 Bn |
| Jan 31, 2025 | 2.52 Bn |
| Oct 31, 2024 | 2.23 Bn |
| Jul 31, 2024 | 1.66 Bn |
| Apr 30, 2024 | 1.69 Bn |
| Jan 31, 2024 | 1.78 Bn |
| Oct 31, 2023 | 1.54 Bn |
| Jul 31, 2023 | 1.46 Bn |
| Apr 30, 2023 | 1.36 Bn |
| Jan 31, 2023 | 1.47 Bn |
| Oct 31, 2022 | 1.31 Bn |
| Jul 31, 2022 | 1.24 Bn |
| Apr 30, 2022 | 1.19 Bn |
| Jan 31, 2022 | 1.24 Bn |
| Oct 31, 2021 | 988.17 Mn |
API Access
Okta Total 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-current-liabilities&ticker=OKTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=OKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();