Palo Alto Networks (PANW) Total Liabilities (2012 - 2026)
Palo Alto Networks (PANW) posted Total Liabilities of $20.97 billion for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 33.1% from $15.75 billion a year earlier and up 12.7% from the prior quarter.
Palo Alto Networks (PANW) Total Liabilities (2012 - 2026) Analysis & Trends
Since fiscal Q4 2012, Palo Alto Networks has reported Total Liabilities for 57 quarters.
- Annual Total Liabilities has increased for 14 consecutive fiscal years, with a five-year compound annual growth rate of 16.9% (FY2021 to FY2026).
- In prior fiscal years, Palo Alto Networks' Total Liabilities was $15.75 billion in FY2025 (+6.3%), $14.82 billion in FY2024 (+16.2%), $12.75 billion in FY2023 (+5.9%) and $12.04 billion in FY2022 (+25.4%).
- The fiscal Q4 2026 figure stands as the highest quarterly Total Liabilities in data going back to fiscal Q4 2012.
- On a year-over-year basis, Total Liabilities has increased in each of the last 53 quarters, with growth averaging 13.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 2.8% (fiscal Q1 2026) to 33.1% (fiscal Q4 2026).
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $18.6 billion (Q3 2026), $15.59 billion (Q2 2026) and $14.87 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.53 Bn | 240.60 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 230.03 Bn | 210.43 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 123.13 Bn | 109.06 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 107.35 Bn | 94.67 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 87.69 Bn | 69.33 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Zscaler | 32.63 Bn | 18.74 Bn | - | 5.27 Bn |
| 7 | Okta | 32.61 Bn | 22.70 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Axon Enterprise | 32.22 Bn | 26.75 Bn | 546.45 Mn | 3.81 Bn |
| 9 | MongoDB | 26.93 Bn | 17.40 Bn | 569.77 Mn | 797.71 Mn |
| 10 | F5 | 24.99 Bn | 19.40 Bn | 711.51 Mn | 2.97 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 20.97 Bn |
| Apr 30, 2026 | 18.60 Bn |
| Jan 31, 2026 | 15.59 Bn |
| Oct 31, 2025 | 14.87 Bn |
| Jul 31, 2025 | 15.75 Bn |
| Apr 30, 2025 | 14.77 Bn |
| Jan 31, 2025 | 14.58 Bn |
| Oct 31, 2024 | 14.46 Bn |
| Jul 31, 2024 | 14.82 Bn |
| Apr 30, 2024 | 13.46 Bn |
| Jan 31, 2024 | 13.93 Bn |
| Oct 31, 2023 | 12.64 Bn |
| Jul 31, 2023 | 12.75 Bn |
| Apr 30, 2023 | 12.94 Bn |
| Jan 31, 2023 | 12.43 Bn |
| Oct 31, 2022 | 12.04 Bn |
| Jul 31, 2022 | 12.04 Bn |
| Apr 30, 2022 | 10.76 Bn |
| Jan 31, 2022 | 10.28 Bn |
| Oct 31, 2021 | 9.91 Bn |
Palo Alto Networks 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=PANW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-liabilities&ticker=PANW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();