Palo Alto Networks (PANW) EBITDA (2011 - 2026)
Palo Alto Networks (PANW) posted EBITDA of $693 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), down 3.5% from $718 million a year earlier but up 131.0% from the prior quarter.
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Analysis
Palo Alto Networks (PANW) EBITDA (2011 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Palo Alto Networks' EBITDA came in at $2.14 billion, up 3.5% from FY2025.
- Annual EBITDA has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 53.1% (FY2021 to FY2026).
- In prior fiscal years, Palo Alto Networks' EBITDA was $2.07 billion in FY2025 (+46.2%), $1.41 billion in FY2024 (+30.6%), $1.08 billion in FY2023 (+137.5%) and $455.9 million in FY2022 (+79.3%).
- Quarterly EBITDA has run from a low of $72.2 million in fiscal Q1 2022 to a high of $718 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, EBITDA increased in six of the last eight quarters, with growth averaging 26.9%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q3 2022, with growth of 250.6%; the weakest was fiscal Q3 2026, with a decline of 29.6%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $300 million (Q3 2026), $623 million (Q2 2026) and $524 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 693.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 170.34 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 827.40 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | -134.60 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 47.04 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 79.24 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 34.34 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 166.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 693.00 Mn |
| Apr 30, 2026 | 300.00 Mn |
| Jan 31, 2026 | 623.00 Mn |
| Oct 31, 2025 | 524.00 Mn |
| Jul 31, 2025 | 718.00 Mn |
| Apr 30, 2025 | 426.00 Mn |
| Jan 31, 2025 | 443.00 Mn |
| Oct 31, 2024 | 480.00 Mn |
| Jul 31, 2024 | 436.60 Mn |
| Apr 30, 2024 | 361.30 Mn |
| Jan 31, 2024 | 231.10 Mn |
| Oct 31, 2023 | 385.00 Mn |
| Jul 31, 2023 | 438.80 Mn |
| Apr 30, 2023 | 252.40 Mn |
| Jan 31, 2023 | 208.80 Mn |
| Oct 31, 2022 | 182.90 Mn |
| Jul 31, 2022 | 188.90 Mn |
| Apr 30, 2022 | 112.90 Mn |
| Jan 31, 2022 | 81.90 Mn |
| Oct 31, 2021 | 72.20 Mn |
API Access
Palo Alto Networks EBITDA 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=ebitda&ticker=PANW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PANW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();