Regency Centers (REG) Selling, General & Administrative (2009 - 2026)
Regency Centers (REG) reported Selling, General & Administrative of $27.57 million for Q2 2026, up 8.2% from $25.48 million a year earlier and up 7.7% from the prior quarter.
Regency Centers (REG) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Regency Centers' Selling, General & Administrative came in at $105.5 million, up 7.5% year-over-year; for FY2025, it was $99.41 million, down 2.0% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $101.47 million in FY2024 (+3.7%), $97.81 million in FY2023 (+22.4%), $79.9 million in FY2022 (+2.2%) and $78.22 million in FY2021 (+4.3%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q1 2018.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 4.7%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2023 (growth of 42.1%); the low point was Q1 2025 (a decline of 17.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $25.61 million (Q1 2026), $25.27 million (Q4 2025) and $27.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | 67.49 Mn |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | 129.63 Mn |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | 54.30 Mn |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | 57.61 Mn |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 44.37 Mn |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | 46.99 Mn |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | 47.32 Mn |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | 15.43 Mn |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | 16.64 Mn |
| 10 | Regency Centers | 275.58 Mn | 547.82 Mn | - | 27.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.57 Mn |
| Mar 31, 2026 | 25.61 Mn |
| Dec 31, 2025 | 25.27 Mn |
| Sep 30, 2025 | 27.06 Mn |
| Jun 30, 2025 | 25.48 Mn |
| Mar 31, 2025 | 21.60 Mn |
| Dec 31, 2024 | 26.02 Mn |
| Sep 30, 2024 | 25.07 Mn |
| Jun 30, 2024 | 24.24 Mn |
| Mar 31, 2024 | 26.13 Mn |
| Dec 31, 2023 | 26.56 Mn |
| Sep 30, 2023 | 20.90 Mn |
| Jun 30, 2023 | 25.07 Mn |
| Mar 31, 2023 | 25.28 Mn |
| Dec 31, 2022 | 23.19 Mn |
| Sep 30, 2022 | 20.27 Mn |
| Jun 30, 2022 | 17.65 Mn |
| Mar 31, 2022 | 18.79 Mn |
| Dec 31, 2021 | 19.96 Mn |
| Sep 30, 2021 | 17.79 Mn |
Regency Centers Selling, General & Administrative 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=selling-general-and-administrative&ticker=REG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "REG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=REG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();