Agree Realty (ADC) Real Estate Taxes and Insurance (2010 - 2026)
Agree Realty's Real Estate Taxes and Insurance came in at $15.78 million for Q3 2026, up 19.8% from $13.17 million a year earlier and up 3.4% from the prior quarter.
Agree Realty (ADC) Real Estate Taxes and Insurance (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Agree Realty reported Real Estate Taxes and Insurance of $60.46 million, up 18.4% year-over-year; for FY2025, it was $52.23 million, up 11.4% from FY2024.
- Real Estate Taxes and Insurance has increased in each of the last 15 years, with a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- Going back by year, Real Estate Taxes and Insurance was $46.88 million in FY2024 (+16.9%), $40.09 million in FY2023 (+25.0%), $32.08 million in FY2022 (+25.7%) and $25.51 million in FY2021 (+19.1%).
- The Q3 2026 figure represents the highest quarterly Real Estate Taxes and Insurance in data going back to Q2 2010.
- Year-over-year, Real Estate Taxes and Insurance has increased for 39 consecutive quarters, with growth averaging 17.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Real Estate Taxes and Insurance ranged from 5.2% (Q4 2021) to 33.9% (Q4 2023).
- Business Quant data shows ADC's Real Estate Taxes and Insurance at $15.26 million (Q2 2026), $14.71 million (Q1 2026) and $14.71 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 171.10 Bn | 153.62 Bn | 1.39 Bn |
| 2 | Prologis | 117.94 Bn | 117.38 Bn | - |
| 3 | Simon Property | 72.61 Bn | 69.67 Bn | - |
| 4 | Public Storage | 54.41 Bn | 53.50 Bn | - |
| 5 | Realty Income | 53.83 Bn | 54.44 Bn | - |
| 6 | Ventas | 44.52 Bn | 43.72 Bn | - |
| 7 | Extra Space Storage | 30.30 Bn | 30.09 Bn | 642.43 Mn |
| 8 | Vici Properties | 26.15 Bn | 24.27 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.62 Bn | 23.59 Bn | - |
| 10 | Agree Realty | 8.68 Bn | 8.54 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.78 Mn |
| Jun 30, 2026 | 15.26 Mn |
| Mar 31, 2026 | 14.71 Mn |
| Dec 31, 2025 | 14.71 Mn |
| Sep 30, 2025 | 13.17 Mn |
| Jun 30, 2025 | 12.83 Mn |
| Mar 31, 2025 | 11.51 Mn |
| Dec 31, 2024 | 13.53 Mn |
| Sep 30, 2024 | 11.94 Mn |
| Jun 30, 2024 | 10.72 Mn |
| Mar 31, 2024 | 10.70 Mn |
| Dec 31, 2023 | 10.66 Mn |
| Sep 30, 2023 | 10.12 Mn |
| Jun 30, 2023 | 9.87 Mn |
| Mar 31, 2023 | 9.43 Mn |
| Dec 31, 2022 | 7.96 Mn |
| Sep 30, 2022 | 8.53 Mn |
| Jun 30, 2022 | 7.98 Mn |
| Mar 31, 2022 | 7.61 Mn |
| Dec 31, 2021 | 6.70 Mn |
Agree Realty Real Estate Taxes and Insurance 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=real-estate-taxes-and-insurance&ticker=ADC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-taxes-and-insurance", "ticker": "ADC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=real-estate-taxes-and-insurance&ticker=ADC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();