Okta (OKTA) Change in Receivables (2016 - 2026)
Okta's Change in Receivables was $83 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 13.7% from $73 million a year earlier.
Okta (OKTA) Change in Receivables (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Okta's Change in Receivables was $54 million through Jul 31, 2026, up 25.6% year-over-year; for FY2026 (ended Jan 31, 2026), it was $70 million, up 11.1% from FY2025.
- Change in Receivables shows a five-year compound annual growth rate of 1.2% (FY2021 to FY2026).
- In earlier fiscal years, Change in Receivables was $63 million in FY2025 (-20.3%), $79 million in FY2024 (-9.2%), $87 million in FY2023 (-50.3%) and $175 million in FY2022 (+165.2%).
- Quarterly Change in Receivables has moved between -$300 million (fiscal Q1 2027) and $224 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Change in Receivables was higher in five of the last six quarters, with growth averaging 34.6%.
- The best year-over-year quarter for Change in Receivables over five years was fiscal Q3 2023 (growth of 299.6%); the worst was fiscal Q3 2022 (a decline of 49.4%).
- Per Business Quant data, OKTA's Change in Receivables in the three fiscal quarters before Q2 2027 was -$300 million (Q1 2027), $224 million (Q4 2026) and $47 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 776.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 104.65 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | -29.90 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 146.59 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 151.65 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 305.83 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 69.26 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 83.00 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 | 83.00 Mn |
| Apr 30, 2026 | -300.00 Mn |
| Jan 31, 2026 | 224.00 Mn |
| Oct 31, 2025 | 47.00 Mn |
| Jul 31, 2025 | 73.00 Mn |
| Apr 30, 2025 | -274.00 Mn |
| Jan 31, 2025 | 157.00 Mn |
| Oct 31, 2024 | 87.00 Mn |
| Jul 31, 2024 | 70.00 Mn |
| Apr 30, 2024 | -251.00 Mn |
| Jan 31, 2024 | 140.00 Mn |
| Oct 31, 2023 | 31.00 Mn |
| Jul 31, 2023 | 99.00 Mn |
| Apr 30, 2023 | -191.00 Mn |
| Jan 31, 2023 | 102.00 Mn |
| Oct 31, 2022 | 59.00 Mn |
| Jul 31, 2022 | 65.00 Mn |
| Apr 30, 2022 | -139.00 Mn |
| Jan 31, 2022 | 145.44 Mn |
| Oct 31, 2021 | 14.76 Mn |
Okta Change in Receivables 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=change-in-receivables&ticker=OKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=OKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();