JBG SMITH Properties (JBGS) EBITDA (2016 - 2026)
JBG SMITH Properties (JBGS) recorded EBITDA of $10.31 million in Q2 2026, down 83.3% from $61.69 million a year earlier and down 82.7% from the prior quarter.
JBG SMITH Properties (JBGS) EBITDA (2016 - 2026) Analysis & Trends
On a TTM basis, JBG SMITH Properties' EBITDA came in at $145.18 million as of Jun 30, 2026, down 13.3% year-over-year; for FY2025, it was $167.62 million, down 2.6% from FY2024.
- Annual EBITDA has declined for three straight years, with a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $172.07 million in FY2024 (-25.9%), $232.28 million in FY2023 (-41.0%), $394.02 million in FY2022 (+77.3%) and $222.23 million in FY2021 (-0.3%).
- The Q2 2026 figure is the lowest quarterly EBITDA since Q3 2017.
- On a year-over-year basis, EBITDA rose in four of the last eight quarters, with growth averaging 34.2%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 381.8% in Q4 2022, against a decline of 83.3% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $59.7 million (Q1 2026), $24.48 million (Q4 2025) and $50.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.70 Bn | 166.77 Bn | 1.47 Bn | 1.24 Bn |
| 2 | Prologis | 122.17 Bn | 120.56 Bn | - | 1.60 Bn |
| 3 | Simon Property | 80.16 Bn | 78.26 Bn | - | 1.32 Bn |
| 4 | Public Storage | 62.28 Bn | 61.73 Bn | 112.08 Mn | 732.77 Mn |
| 5 | Realty Income | 56.35 Bn | 57.74 Bn | - | 1.44 Bn |
| 6 | Ventas | 47.42 Bn | 46.59 Bn | -3.39 Bn | 1.17 Bn |
| 7 | Ryman Hospitality Properties | 47.10 Bn | 45.93 Bn | 266.41 Mn | 180.80 Mn |
| 8 | Vivmark Residential | 37.16 Bn | 36.91 Bn | - | 291.91 Mn |
| 9 | Extra Space Storage | 33.05 Bn | 32.83 Bn | 650.96 Mn | 591.18 Mn |
| 10 | JBG SMITH Properties | 883.52 Mn | 1.02 Bn | - | -16.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -16.13 Mn |
| Jun 30, 2026 | 10.84 Mn |
| Mar 31, 2026 | 60.35 Mn |
| Dec 31, 2025 | 26.22 Mn |
| Sep 30, 2025 | 54.30 Mn |
| Jun 30, 2025 | 64.80 Mn |
| Mar 31, 2025 | 34.55 Mn |
| Dec 31, 2024 | 19.85 Mn |
| Sep 30, 2024 | 57.36 Mn |
| Jun 30, 2024 | 52.94 Mn |
| Mar 31, 2024 | 47.72 Mn |
| Dec 31, 2023 | 47.94 Mn |
| Sep 30, 2023 | 13.83 Mn |
| Jun 30, 2023 | 65.00 Mn |
| Mar 31, 2023 | 106.26 Mn |
| Dec 31, 2022 | 61.84 Mn |
| Sep 30, 2022 | 49.24 Mn |
| Jun 30, 2022 | 212.64 Mn |
| Mar 31, 2022 | 76.91 Mn |
| Dec 31, 2021 | 14.16 Mn |
JBG SMITH Properties EBITDA 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=ebitda&ticker=JBGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=JBGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();