JBG SMITH Properties (JBGS) Cash & Equivalents (2016 - 2026)
JBG SMITH Properties (JBGS) posted Cash & Equivalents of $74.8 million for Q2 2026, up 21.8% from $61.43 million a year earlier but down 6.2% from the prior quarter.
JBG SMITH Properties (JBGS) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, JBG SMITH Properties' Cash & Equivalents came in at $75.27 million, down 48.4% from FY2024.
- Annual Cash & Equivalents has declined for four consecutive years, with a five-year compound annual growth rate of -19.7% (FY2020 to FY2025).
- In prior years, JBG SMITH Properties' Cash & Equivalents was $145.8 million in FY2024 (-11.5%), $164.77 million in FY2023 (-31.7%), $241.1 million in FY2022 (-8.8%) and $264.36 million in FY2021 (+17.2%).
- Quarterly Cash & Equivalents has run from a low of $61.43 million in Q2 2025 to a high of $279.55 million in Q1 2023 over five years.
- On a year-over-year basis, Cash & Equivalents increased in two of the last eight quarters, with an average decline of 26.7%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2023, with growth of 47.8%; the weakest was Q1 2025, with a decline of 63.1%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $79.78 million (Q1 2026), $75.27 million (Q4 2025) and $64.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 1.97 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 1.77 Bn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 542.96 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 552.65 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 259.94 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 198.96 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 288.06 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 36.41 Mn |
| 10 | JBG SMITH Properties | 786.93 Mn | 1.28 Bn | - | 74.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.80 Mn |
| Mar 31, 2026 | 79.78 Mn |
| Dec 31, 2025 | 75.27 Mn |
| Sep 30, 2025 | 64.44 Mn |
| Jun 30, 2025 | 61.43 Mn |
| Mar 31, 2025 | 81.34 Mn |
| Dec 31, 2024 | 145.80 Mn |
| Sep 30, 2024 | 136.98 Mn |
| Jun 30, 2024 | 163.54 Mn |
| Mar 31, 2024 | 220.51 Mn |
| Dec 31, 2023 | 164.77 Mn |
| Sep 30, 2023 | 130.52 Mn |
| Jun 30, 2023 | 156.64 Mn |
| Mar 31, 2023 | 279.55 Mn |
| Dec 31, 2022 | 241.10 Mn |
| Sep 30, 2022 | 258.87 Mn |
| Jun 30, 2022 | 162.27 Mn |
| Mar 31, 2022 | 189.14 Mn |
| Dec 31, 2021 | 264.36 Mn |
| Sep 30, 2021 | 194.28 Mn |
JBG SMITH Properties Cash & Equivalents 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=cash-and-equivalents&ticker=JBGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=JBGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();