Regency Centers (REG) Operating Expenses (2009 - 2026)
Regency Centers (REG) reported Operating Expenses of $259.34 million for Q2 2026, up 10.3% from $235.22 million a year earlier and up 0.6% from the prior quarter.
Regency Centers (REG) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Regency Centers' Operating Expenses came in at $1.02 billion, up 7.9% year-over-year; for FY2025, it came in at $970.46 million, up 3.2% from FY2024.
- Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $940.1 million in FY2024 (+10.0%), $854.32 million in FY2023 (+13.6%), $751.71 million in FY2022 (+5.3%) and $713.98 million in FY2021 (-4.4%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q1 2018.
- Year over year, Operating Expenses has now increased in each of the last six quarters, with growth averaging 5.2% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2023 (growth of 22.5%); the low point was Q4 2021 (a decline of 6.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $257.74 million (Q1 2026), $256.18 million (Q4 2025) and $244.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 566.18 Mn |
| 10 | Regency Centers | 281.45 Mn | 553.69 Mn | - | 259.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 259.34 Mn |
| Mar 31, 2026 | 257.74 Mn |
| Dec 31, 2025 | 256.18 Mn |
| Sep 30, 2025 | 244.18 Mn |
| Jun 30, 2025 | 235.22 Mn |
| Mar 31, 2025 | 234.88 Mn |
| Dec 31, 2024 | 237.03 Mn |
| Sep 30, 2024 | 235.89 Mn |
| Jun 30, 2024 | 233.24 Mn |
| Mar 31, 2024 | 233.94 Mn |
| Dec 31, 2023 | 243.18 Mn |
| Sep 30, 2023 | 211.34 Mn |
| Jun 30, 2023 | 202.81 Mn |
| Mar 31, 2023 | 196.99 Mn |
| Dec 31, 2022 | 198.52 Mn |
| Sep 30, 2022 | 189.00 Mn |
| Jun 30, 2022 | 182.06 Mn |
| Mar 31, 2022 | 182.14 Mn |
| Dec 31, 2021 | 183.09 Mn |
| Sep 30, 2021 | 173.31 Mn |
Regency Centers Operating 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=operating-expenses&ticker=REG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=REG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();