JBG SMITH Properties (JBGS) Price to Earnings (2018 - 2023)
JBG SMITH Properties' Price to Earnings was 16.34 in Q1 2023, down 37.0% from the prior quarter.
Analysis
JBG SMITH Properties (JBGS) Price to Earnings (2018 - 2023) Analysis & Trends
For FY2022, Price to Earnings at JBG SMITH Properties came in at 25.91.
- In earlier years, Price to Earnings was 81.61 in FY2019 (-22.6%) and 105.45 in FY2018.
- The Q1 2023 figure marks the lowest quarterly Price to Earnings in data going back to Q3 2018.
- Per Business Quant data, JBGS's Price to Earnings in the three quarters before Q1 2023 was 25.91 (Q4 2022), 45.13 (Q3 2022) and 40.47 (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - |
| 10 | JBG SMITH Properties | 786.93 Mn | 1.28 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 16.34 |
| Dec 31, 2022 | 25.91 |
| Sep 30, 2022 | 45.13 |
| Jun 30, 2022 | 40.47 |
| Sep 30, 2020 | 199.61 |
| Jun 30, 2020 | 79.24 |
| Mar 31, 2020 | 50.81 |
| Dec 31, 2019 | 81.61 |
| Sep 30, 2019 | 164.91 |
| Jun 30, 2019 | 116.32 |
| Mar 31, 2019 | 73.49 |
| Dec 31, 2018 | 105.45 |
| Sep 30, 2018 | 175.94 |
API Access
JBG SMITH Properties Price to Earnings 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-earnings&ticker=JBGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "JBGS", "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-earnings&ticker=JBGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();