JBG SMITH Properties (JBGS) Change in Accured Expenses (2016 - 2026)
JBG SMITH Properties (JBGS) posted Change in Accured Expenses of -$7.14 million for Q2 2026, compared with -$4.73 million a year earlier.
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Analysis
JBG SMITH Properties (JBGS) Change in Accured Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at JBG SMITH Properties was -$2.59 million; for FY2025, it was -$4.79 million.
- In prior years, JBG SMITH Properties' Change in Accured Expenses was $606,000 in FY2024, -$11.26 million in FY2023, -$1.28 million in FY2022 and $8.7 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Change in Accured Expenses since Q1 2025.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 197.8%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q3 2024, with growth of 871.1%; the weakest was Q3 2025, with a decline of 73.4%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$2.87 million (Q1 2026), $4.73 million (Q4 2025) and $2.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 187.04 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 130.70 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 144.79 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | -25.21 Mn |
| 10 | JBG SMITH Properties | 786.93 Mn | 1.28 Bn | - | -7.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.14 Mn |
| Mar 31, 2026 | -2.87 Mn |
| Dec 31, 2025 | 4.73 Mn |
| Sep 30, 2025 | 2.69 Mn |
| Jun 30, 2025 | -4.73 Mn |
| Mar 31, 2025 | -7.48 Mn |
| Dec 31, 2024 | 10.05 Mn |
| Sep 30, 2024 | 10.13 Mn |
| Jun 30, 2024 | -13.56 Mn |
| Mar 31, 2024 | -6.02 Mn |
| Dec 31, 2023 | 6.87 Mn |
| Sep 30, 2023 | 1.04 Mn |
| Jun 30, 2023 | -3.10 Mn |
| Mar 31, 2023 | -16.07 Mn |
| Dec 31, 2022 | 2.37 Mn |
| Sep 30, 2022 | -2.27 Mn |
| Jun 30, 2022 | 3.20 Mn |
| Mar 31, 2022 | -4.58 Mn |
| Dec 31, 2021 | 2.75 Mn |
| Sep 30, 2021 | 5.72 Mn |
API Access
JBG SMITH Properties Change in Accured Expenses 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=change-in-accured-expenses&ticker=JBGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=JBGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();