JBG SMITH Properties (JBGS) Receivables (2016 - 2026)
JBG SMITH Properties (JBGS) posted Receivables of $25.14 million for Q2 2026, up 17.6% from $21.37 million a year earlier but down 7.2% from the prior quarter.
JBG SMITH Properties (JBGS) Receivables (2016 - 2026) Analysis & Trends
At the end of FY2025, JBG SMITH Properties' Receivables came in at $23.88 million, down 12.3% from FY2024.
- Annual Receivables has declined for three consecutive years, with a five-year compound annual growth rate of -17.7% (FY2020 to FY2025).
- In prior years, JBG SMITH Properties' Receivables was $27.23 million in FY2024 (-44.0%), $48.61 million in FY2023 (-21.8%), $62.16 million in FY2022 (+30.3%) and $47.7 million in FY2021 (-24.8%).
- Quarterly Receivables has run from a low of $21.37 million in Q2 2025 to a high of $62.16 million in Q4 2022 over five years.
- On a year-over-year basis, Receivables increased in two of the last eight quarters, with an average decline of 18.4%.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2022, with growth of 30.3%; the weakest was Q1 2025, with a decline of 44.1%.
- According to Business Quant data, Receivables for the three prior quarters was $27.08 million (Q1 2026), $23.88 million (Q4 2025) and $23.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 3.24 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | - |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 934.08 Mn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.31 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | - |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 108.05 Mn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 114.68 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | JBG SMITH Properties | 753.40 Mn | 1.25 Bn | - | 25.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.14 Mn |
| Mar 31, 2026 | 27.08 Mn |
| Dec 31, 2025 | 23.88 Mn |
| Sep 30, 2025 | 23.80 Mn |
| Jun 30, 2025 | 21.37 Mn |
| Mar 31, 2025 | 22.47 Mn |
| Dec 31, 2024 | 27.23 Mn |
| Sep 30, 2024 | 30.73 Mn |
| Jun 30, 2024 | 31.43 Mn |
| Mar 31, 2024 | 40.22 Mn |
| Dec 31, 2023 | 48.61 Mn |
| Sep 30, 2023 | 44.08 Mn |
| Jun 30, 2023 | 44.86 Mn |
| Mar 31, 2023 | 51.44 Mn |
| Dec 31, 2022 | 62.16 Mn |
| Sep 30, 2022 | 52.32 Mn |
| Jun 30, 2022 | 49.91 Mn |
| Mar 31, 2022 | 48.40 Mn |
| Dec 31, 2021 | 47.70 Mn |
| Sep 30, 2021 | 54.63 Mn |
JBG SMITH Properties Receivables 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=receivables&ticker=JBGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=JBGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();