JBG SMITH Properties (JBGS) Net Margin (2016 - 2026)
JBG SMITH Properties (JBGS) recorded Net Margin of -46.22% in Q2 2026, down 30.65 percentage points from -15.57% a year earlier and down 31.56 percentage points from the prior quarter.
JBG SMITH Properties (JBGS) Net Margin (2016 - 2026) Analysis & Trends
On a TTM basis, JBG SMITH Properties' Net Margin came in at -30.28% as of Jun 30, 2026, down 0.39 percentage points year-over-year; for FY2025, it was -28.25%, down 1.58 percentage points from FY2024.
- Annual Net Margin has declined for three straight years, with a five-year change of -17.91 percentage points (FY2020 to FY2025).
- Across earlier years, Net Margin came in at -26.67% in FY2024 (-13.10 pp), -13.58% in FY2023 (-27.36 pp), 13.78% in FY2022 (+26.73 pp) and -12.94% in FY2021 (-2.61 pp).
- The Q2 2026 figure is the lowest quarterly Net Margin since Q4 2024.
- On a year-over-year basis, Net Margin rose in four of the last eight quarters, with an average year-over-year change of -2.30 percentage points.
- Peak year-over-year performance for Net Margin in the last five years was a gain of 86.64 percentage points in Q2 2022, against a drop of 92.12 percentage points in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -14.65% (Q1 2026), -36.40% (Q4 2025) and -23.41% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.70 Bn | 166.77 Bn | 1.47 Bn | 10.67% |
| 2 | Prologis | 122.17 Bn | 120.56 Bn | - | 34.17% |
| 3 | Simon Property | 80.16 Bn | 78.26 Bn | - | 27.50% |
| 4 | Public Storage | 62.28 Bn | 61.73 Bn | 112.08 Mn | 22.86% |
| 5 | Realty Income | 56.35 Bn | 57.74 Bn | - | 24.91% |
| 6 | Ventas | 47.42 Bn | 46.59 Bn | -3.39 Bn | 3.57% |
| 7 | Ryman Hospitality Properties | 47.10 Bn | 45.93 Bn | 266.41 Mn | 6.13% |
| 8 | Vivmark Residential | 37.16 Bn | 36.91 Bn | - | -61.52% |
| 9 | Extra Space Storage | 33.05 Bn | 32.83 Bn | 650.96 Mn | 27.84% |
| 10 | JBG SMITH Properties | 883.52 Mn | 1.02 Bn | - | -62.38% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -62.38% |
| Jun 30, 2026 | -46.22% |
| Mar 31, 2026 | -14.65% |
| Dec 31, 2025 | -36.40% |
| Sep 30, 2025 | -23.41% |
| Jun 30, 2025 | -15.57% |
| Mar 31, 2025 | -37.88% |
| Dec 31, 2024 | -46.46% |
| Sep 30, 2024 | -20.16% |
| Jun 30, 2024 | -18.38% |
| Mar 31, 2024 | -22.68% |
| Dec 31, 2023 | -22.53% |
| Sep 30, 2023 | -38.73% |
| Jun 30, 2023 | -7.40% |
| Mar 31, 2023 | 13.84% |
| Dec 31, 2022 | -13.11% |
| Sep 30, 2022 | -13.52% |
| Jun 30, 2022 | 84.71% |
| Mar 31, 2022 | -0.02% |
| Dec 31, 2021 | -37.67% |
JBG SMITH Properties Net Margin 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=net-margin&ticker=JBGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=JBGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();