Palo Alto Networks (PANW) Price to Book (2012 - 2026)
Palo Alto Networks' (PANW) quarterly Price to Book came in at 9.84 in Q3 2026, down 33.63% year-over-year from 14.82 in Q3 2025, and up 86.69% on a QoQ basis from 5.27 in Q2 2026.
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Analysis
Palo Alto Networks (PANW) Price to Book (2012 - 2026) Analysis & Trends
Palo Alto Networks (PANW) has 15 years of Price to Book data on file, last reported at 9.84 in Q3 2026.
- On a quarterly basis, Price to Book fell 33.63% year-over-year to 9.84 in Q3 2026; TTM through Jul 2026 was 9.84, a 33.63% decrease from a year earlier, with the FY2026 full-year figure at 9.84, down 33.63% from the prior year.
- Price to Book for Q3 2026 stood at 9.84, up from 5.27 in the prior quarter.
- Across five years, Price to Book topped out at 432.61 in Q1 2022 and bottomed at 5.27 in Q2 2026.
- Historically, Price to Book has averaged 68.99 across 5 years, with a median of 21.06 in 2024.
- The widest annual swing landed in 2022, when Price to Book surged 1216.22%; it then plunged 84.79% in 2023.
- Year by year, Price to Book stood at 102.1 in 2022, then sank by 65.6% to 35.12 in 2023, then tumbled by 43.14% to 19.97 in 2024, then declined by 11.93% to 17.59 in 2025, then plunged by 44.07% to 9.84 in 2026.
- Per Business Quant data, the three most recent Price to Book figures were 9.84 in Q3 2026, 5.27 in Q2 2026, and 13.24 in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.84 |
| Apr 30, 2026 | 5.27 |
| Jan 31, 2026 | 13.24 |
| Oct 31, 2025 | 17.59 |
| Jul 31, 2025 | 14.82 |
| Apr 30, 2025 | 17.22 |
| Jan 31, 2025 | 19.10 |
| Oct 31, 2024 | 19.97 |
| Jul 31, 2024 | 20.42 |
| Apr 30, 2024 | 21.06 |
| Jan 31, 2024 | 25.07 |
| Oct 31, 2023 | 35.12 |
| Jul 31, 2023 | 44.09 |
| Apr 30, 2023 | 45.24 |
| Jan 31, 2023 | 65.81 |
| Oct 31, 2022 | 102.10 |
| Jul 31, 2022 | 236.71 |
| Apr 30, 2022 | 165.60 |
| Jan 31, 2022 | 432.61 |
| Oct 31, 2021 | 96.84 |
API Access
Palo Alto Networks Price to Book 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=price-to-book&ticker=PANW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=PANW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();