Palo Alto Networks (PANW) Receivables (2012 - 2026)
Palo Alto Networks' (PANW) quarterly Receivables came in at $3.6 billion in Q3 2026, up 22.39% year-over-year from $3.0 billion in Q3 2025, and up 27.24% on a QoQ basis from $2.9 billion in Q2 2026.
Palo Alto Networks (PANW) Receivables (2012 - 2026) Analysis & Trends
Palo Alto Networks (PANW) has 15 years of Receivables data on file, last reported at $3.6 billion in Q3 2026.
- On a quarterly basis, Receivables rose 22.39% year-over-year to $3.6 billion in Q3 2026; TTM through Jul 2026 was $3.6 billion, a 22.39% increase from a year earlier, with the FY2026 full-year figure at $3.6 billion, up 22.39% from the prior year.
- Receivables for Q3 2026 stood at $3.6 billion, up from $2.9 billion in the prior quarter.
- Across five years, Receivables topped out at $3.6 billion in Q3 2026 and bottomed at $1.1 billion in Q4 2024.
- Historically, Receivables has averaged $2.1 billion across 5 years, with a median of $2.0 billion in 2025.
- The widest annual swing landed in 2022, when Receivables soared 99.19%; it then sank 34.95% in 2024.
- Year by year, Receivables stood at $1.5 billion in 2022, then increased by 12.46% to $1.7 billion in 2023, then tumbled by 34.95% to $1.1 billion in 2024, then rose by 18.55% to $1.3 billion in 2025, then surged by 170.22% to $3.6 billion in 2026.
- Per Business Quant data, the three most recent Receivables figures were $3.6 billion in Q3 2026, $2.9 billion in Q2 2026, and $2.1 billion in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 745.76 Mn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | 1.18 Bn |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 483.22 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 488.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 2.09 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.63 Bn |
| Apr 30, 2026 | 2.85 Bn |
| Jan 31, 2026 | 2.12 Bn |
| Oct 31, 2025 | 1.34 Bn |
| Jul 31, 2025 | 2.97 Bn |
| Apr 30, 2025 | 1.95 Bn |
| Jan 31, 2025 | 1.50 Bn |
| Oct 31, 2024 | 1.13 Bn |
| Jul 31, 2024 | 2.62 Bn |
| Apr 30, 2024 | 2.05 Bn |
| Jan 31, 2024 | 2.22 Bn |
| Oct 31, 2023 | 1.74 Bn |
| Jul 31, 2023 | 2.80 Bn |
| Apr 30, 2023 | 1.76 Bn |
| Jan 31, 2023 | 1.59 Bn |
| Oct 31, 2022 | 1.55 Bn |
| Jul 31, 2022 | 2.46 Bn |
| Apr 30, 2022 | 1.53 Bn |
| Jan 31, 2022 | 1.23 Bn |
| Oct 31, 2021 | 1.09 Bn |
Palo Alto Networks 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=receivables&ticker=PANW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PANW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();