Palo Alto Networks (PANW) Total Liabilities (2012 - 2026)
Palo Alto Networks' (PANW) quarterly Total Liabilities came in at $21.0 billion in Q3 2026, up 33.11% year-over-year from $15.8 billion in Q3 2025, and up 12.74% on a QoQ basis from $18.6 billion in Q2 2026.
Palo Alto Networks (PANW) Total Liabilities (2012 - 2026) Analysis & Trends
Palo Alto Networks (PANW) has 15 years of Total Liabilities data on file, last reported at $21.0 billion in Q3 2026.
- On a quarterly basis, Total Liabilities rose 33.11% year-over-year to $21.0 billion in Q3 2026; TTM through Jul 2026 was $21.0 billion, a 33.11% increase from a year earlier, with the FY2026 full-year figure at $21.0 billion, up 33.11% from the prior year.
- Total Liabilities for Q3 2026 stood at $21.0 billion, up from $18.6 billion in the prior quarter.
- Across five years, Total Liabilities topped out at $21.0 billion in Q3 2026 and bottomed at $10.3 billion in Q1 2022.
- Historically, Total Liabilities has averaged $14.1 billion across 5 years, with a median of $13.9 billion in 2024.
- The widest annual swing landed in 2025, when Total Liabilities climbed 2.82%; it then soared 33.11% in 2026.
- Year by year, Total Liabilities stood at $12.0 billion in 2022, then grew by 5.0% to $12.6 billion in 2023, then grew by 14.44% to $14.5 billion in 2024, then climbed by 2.82% to $14.9 billion in 2025, then surged by 41.0% to $21.0 billion in 2026.
- Per Business Quant data, the three most recent Total Liabilities figures were $21.0 billion in Q3 2026, $18.6 billion in Q2 2026, and $15.6 billion in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | 5.27 Bn |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 797.71 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 2.17 Bn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 25.77 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();