Palo Alto Networks (PANW) Return on Sales [ROS] (2011 - 2026)
Palo Alto Networks' Return on Sales [ROS] came in at 5.04% for fiscal Q4 2026 (quarter ended Jul 31, 2026), down 14.55 percentage points from 19.60% a year earlier but up 11.14 percentage points from the prior quarter.
Palo Alto Networks (PANW) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Palo Alto Networks' Return on Sales [ROS] was 6.05%, down 7.43 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of +13.20 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was 13.48% in FY2025 (+4.96 pp), 8.52% in FY2024 (+2.90 pp), 5.62% in FY2023 (+9.05 pp) and -3.43% in FY2022 (+3.71 pp).
- The five-year range for quarterly Return on Sales [ROS] is -6.63% (fiscal Q1 2022) to 19.60% (fiscal Q4 2025).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of -0.90 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q4 2023 (a gain of 11.98 percentage points), and the weakest in fiscal Q3 2026 (a drop of 15.66 percentage points).
- Business Quant data shows PANW's Return on Sales [ROS] at -6.10% (Q3 2026), 15.30% (Q2 2026) and 12.49% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 256.87 Bn | 241.94 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 231.15 Bn | 211.55 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 124.03 Bn | 109.96 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 108.12 Bn | 95.44 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 88.51 Bn | 70.15 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 32.90 Bn | 23.00 Bn | 641.00 Mn | 13.29% |
| 7 | Zscaler | 32.89 Bn | 19.01 Bn | - | - |
| 8 | Axon Enterprise | 32.34 Bn | 26.86 Bn | 546.45 Mn | 5.17% |
| 9 | MongoDB | 27.09 Bn | 17.56 Bn | 569.77 Mn | 3.68% |
| 10 | F5 | 25.10 Bn | 19.51 Bn | 711.51 Mn | 24.65% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.04% |
| Apr 30, 2026 | -6.10% |
| Jan 31, 2026 | 15.30% |
| Oct 31, 2025 | 12.49% |
| Jul 31, 2025 | 19.60% |
| Apr 30, 2025 | 9.57% |
| Jan 31, 2025 | 10.68% |
| Oct 31, 2024 | 13.37% |
| Jul 31, 2024 | 10.90% |
| Apr 30, 2024 | 8.90% |
| Jan 31, 2024 | 2.71% |
| Oct 31, 2023 | 11.46% |
| Jul 31, 2023 | 12.98% |
| Apr 30, 2023 | 4.57% |
| Jan 31, 2023 | 2.41% |
| Oct 31, 2022 | 0.97% |
| Jul 31, 2022 | 0.99% |
| Apr 30, 2022 | -3.43% |
| Jan 31, 2022 | -5.61% |
| Oct 31, 2021 | -6.63% |
Palo Alto Networks Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PANW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PANW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();