JBG SMITH Properties (JBGS) Other non-cash items (2016 - 2026)
Analysis
JBG SMITH Properties (JBGS) Other non-cash items (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.90 Mn |
| Mar 31, 2026 | 303,000.00 |
| Dec 31, 2025 | -5.44 Mn |
| Sep 30, 2025 | 1.26 Mn |
| Jun 30, 2025 | -283,000.00 |
| Mar 31, 2025 | 4.66 Mn |
| Dec 31, 2024 | 1.42 Mn |
| Sep 30, 2024 | -43,000.00 |
| Jun 30, 2024 | 302,000.00 |
| Mar 31, 2024 | -2.75 Mn |
| Dec 31, 2023 | 9.49 Mn |
| Sep 30, 2023 | 942,000.00 |
| Jun 30, 2023 | 450,000.00 |
| Mar 31, 2023 | -1.35 Mn |
| Dec 31, 2022 | -2.77 Mn |
| Sep 30, 2022 | 1.44 Mn |
| Jun 30, 2022 | 1.04 Mn |
| Mar 31, 2022 | -1.91 Mn |
| Dec 31, 2021 | -19.17 Mn |
| Sep 30, 2021 | 15.82 Mn |
API Access
JBG SMITH Properties Other non-cash items 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=other-non-cash-items&ticker=JBGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-cash-items", "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=other-non-cash-items&ticker=JBGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();