JBG SMITH Properties (JBGS) Capital Expenditures (2016 - 2026)
JBG SMITH Properties (JBGS) recorded Capital Expenditures of $19.91 million in Q2 2026, down 40.3% from $33.33 million a year earlier and down 14.3% from the prior quarter.
JBG SMITH Properties (JBGS) Capital Expenditures (2016 - 2026) Analysis & Trends
On a TTM basis, JBG SMITH Properties' Capital Expenditures came in at $103 million as of Jun 30, 2026, down 38.3% year-over-year; for FY2025, it came in at $122.27 million, down 43.9% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of -16.8% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $218.03 million in FY2024 (-34.7%), $333.74 million in FY2023 (+2.1%), $326.74 million in FY2022 (+88.7%) and $173.18 million in FY2021 (-43.7%).
- The Q2 2026 figure is the lowest quarterly Capital Expenditures in data going back to Q3 2016.
- On a year-over-year basis, Capital Expenditures has declined for 12 consecutive quarters, with an average decline of 38.3% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 121.5% in Q3 2022, against a decline of 50.2% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $23.24 million (Q1 2026), $30.1 million (Q4 2025) and $29.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 319.29 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 254.90 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 57.19 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 56.02 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 101.83 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 31.76 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 21.69 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | JBG SMITH Properties | 748.93 Mn | 1.24 Bn | - | 19.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.91 Mn |
| Mar 31, 2026 | 23.24 Mn |
| Dec 31, 2025 | 30.10 Mn |
| Sep 30, 2025 | 29.75 Mn |
| Jun 30, 2025 | 33.33 Mn |
| Mar 31, 2025 | 29.09 Mn |
| Dec 31, 2024 | 45.98 Mn |
| Sep 30, 2024 | 58.61 Mn |
| Jun 30, 2024 | 65.46 Mn |
| Mar 31, 2024 | 47.98 Mn |
| Dec 31, 2023 | 92.41 Mn |
| Sep 30, 2023 | 76.56 Mn |
| Jun 30, 2023 | 86.44 Mn |
| Mar 31, 2023 | 78.33 Mn |
| Dec 31, 2022 | 107.91 Mn |
| Sep 30, 2022 | 90.72 Mn |
| Jun 30, 2022 | 75.43 Mn |
| Mar 31, 2022 | 52.69 Mn |
| Dec 31, 2021 | 64.82 Mn |
| Sep 30, 2021 | 40.95 Mn |
JBG SMITH Properties Capital Expenditures 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=capital-expenditures&ticker=JBGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=JBGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();