JBG SMITH Properties (JBGS) Return on Sales [ROS] (2016 - 2026)
JBG SMITH Properties (JBGS) posted Return on Sales [ROS] of -28.15% for Q2 2026, down 37.88 percentage points from 9.73% a year earlier and down 37.95 percentage points from the prior quarter.
JBG SMITH Properties (JBGS) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at JBG SMITH Properties was -9.32%, down 2.51 percentage points year-over-year; for FY2025, it came in at -5.99%, up 1.85 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -4.46 percentage points (FY2020 to FY2025).
- In prior years, JBG SMITH Properties' Return on Sales [ROS] was -7.84% in FY2024 (-10.60 pp), 2.76% in FY2023 (-26.32 pp), 29.08% in FY2022 (+31.95 pp) and -2.87% in FY2021 (-1.35 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q4 2021.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +0.69 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2022, with a gain of 101.57 percentage points; the weakest was Q2 2023, with a drop of 100.93 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 9.80% (Q1 2026), -18.94% (Q4 2025) and 0.56% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 51.59% |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 43.38% |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 45.77% |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 37.85% |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 12.39% |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | JBG SMITH Properties | 786.93 Mn | 1.28 Bn | - | -28.15% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -28.15% |
| Mar 31, 2026 | 9.80% |
| Dec 31, 2025 | -18.94% |
| Sep 30, 2025 | 0.56% |
| Jun 30, 2025 | 9.73% |
| Mar 31, 2025 | -15.49% |
| Dec 31, 2024 | -25.52% |
| Sep 30, 2024 | 3.52% |
| Jun 30, 2024 | -0.62% |
| Mar 31, 2024 | -9.30% |
| Dec 31, 2023 | -7.15% |
| Sep 30, 2023 | -25.15% |
| Jun 30, 2023 | 9.33% |
| Mar 31, 2023 | 33.43% |
| Dec 31, 2022 | 2.32% |
| Sep 30, 2022 | -2.36% |
| Jun 30, 2022 | 110.26% |
| Mar 31, 2022 | 9.71% |
| Dec 31, 2021 | -29.65% |
| Sep 30, 2021 | 11.75% |
JBG SMITH Properties Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=JBGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=JBGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();