Palo Alto Networks (PANW) Other Non-Current Liabilities (2012 - 2026)
Palo Alto Networks (PANW) recorded Other Non-Current Liabilities of $1.29 billion in fiscal Q4 2026 (quarter ended Jul 31, 2026), up 44.9% from $887 million a year earlier and up 38.2% from the prior quarter.
Palo Alto Networks (PANW) Other Non-Current Liabilities (2012 - 2026) Analysis & Trends
Starting with fiscal Q4 2012, Palo Alto Networks' Other Non-Current Liabilities history includes 57 quarters.
- Annual Other Non-Current Liabilities has increased for three straight fiscal years, with a five-year compound annual growth rate of 67.4% (FY2021 to FY2026).
- Across earlier fiscal years, Other Non-Current Liabilities came in at $887 million in FY2025 (+105.8%), $430.9 million in FY2024 (+400.5%), $86.1 million in FY2023 (-20.6%) and $108.4 million in FY2022 (+11.0%).
- The fiscal Q4 2026 figure is the highest quarterly Other Non-Current Liabilities in data going back to fiscal Q4 2012.
- On a year-over-year basis, Other Non-Current Liabilities has increased for 12 consecutive quarters, with growth averaging 126.3% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 511.4% in fiscal Q1 2025, against a decline of 28.5% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $930 million (Q3 2026), $949 million (Q2 2026) and $913 million (Q1 2026).
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 | 1.29 Bn |
| Apr 30, 2026 | 930.00 Mn |
| Jan 31, 2026 | 949.00 Mn |
| Oct 31, 2025 | 913.00 Mn |
| Jul 31, 2025 | 887.00 Mn |
| Apr 30, 2025 | 878.00 Mn |
| Jan 31, 2025 | 882.60 Mn |
| Oct 31, 2024 | 843.80 Mn |
| Jul 31, 2024 | 430.90 Mn |
| Apr 30, 2024 | 352.70 Mn |
| Jan 31, 2024 | 317.80 Mn |
| Oct 31, 2023 | 138.00 Mn |
| Jul 31, 2023 | 86.10 Mn |
| Apr 30, 2023 | 89.50 Mn |
| Jan 31, 2023 | 73.60 Mn |
| Oct 31, 2022 | 119.30 Mn |
| Jul 31, 2022 | 108.40 Mn |
| Apr 30, 2022 | 103.00 Mn |
| Jan 31, 2022 | 102.90 Mn |
| Oct 31, 2021 | 107.00 Mn |
Palo Alto Networks 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=PANW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "PANW", "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=PANW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();