American Assets Trust (AAT) Price to Book (2011 - 2026)
American Assets Trust's Price to Book was 1.35 in Q2 2026, up 32.5% from 1.02 a year earlier.
Analysis
American Assets Trust (AAT) Price to Book (2011 - 2026) Analysis & Trends
For FY2025, Price to Book at American Assets Trust came in at 1.01, down 26.0% from FY2024.
- In earlier years, Price to Book was 1.37 in FY2024 (+19.3%), 1.14 in FY2023 (-13.1%), 1.32 in FY2022 (-28.1%) and 1.83 in FY2021 (+31.6%).
- The Q2 2026 figure marks the highest quarterly Price to Book since Q4 2024.
- Compared with a year earlier, Price to Book was higher in three of the last seven quarters, with growth averaging 3.6%.
- The best year-over-year quarter for Price to Book over five years was Q3 2021 (growth of 61.9%); the worst was Q1 2023 (a decline of 51.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | American Assets Trust | 1.30 Bn | 1.24 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 |
| Dec 31, 2025 | 1.01 |
| Sep 30, 2025 | 1.06 |
| Jun 30, 2025 | 1.02 |
| Mar 31, 2025 | 1.03 |
| Dec 31, 2024 | 1.37 |
| Sep 30, 2024 | 1.37 |
| Jun 30, 2024 | 1.14 |
| Mar 31, 2024 | 1.11 |
| Dec 31, 2023 | 1.14 |
| Sep 30, 2023 | 0.98 |
| Jun 30, 2023 | 0.96 |
| Mar 31, 2023 | 0.93 |
| Dec 31, 2022 | 1.32 |
| Sep 30, 2022 | 1.30 |
| Jun 30, 2022 | 1.50 |
| Mar 31, 2022 | 1.90 |
| Dec 31, 2021 | 1.83 |
| Sep 30, 2021 | 1.86 |
| Jun 30, 2021 | 1.84 |
API Access
American Assets Trust 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=AAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "AAT", "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=AAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();