Agree Realty (ADC) Proceeds from Sale of Real Estate (2010 - 2026)
Agree Realty's Sales of Property, Plant and Equipment was $25.81 million in Q3 2026, up 76.6% from $14.61 million a year earlier but down 10.6% from the prior quarter.
Agree Realty (ADC) Proceeds from Sale of Real Estate (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Agree Realty's Sales of Property, Plant and Equipment was $84.03 million through Sep 30, 2026, up 57.0% year-over-year; for FY2025, it was $42.07 million, down 55.4% from FY2024.
- Sales of Property, Plant and Equipment shows a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- In earlier years, Sales of Property, Plant and Equipment was $94.33 million in FY2024 (+581.4%), $13.84 million in FY2023 (-69.2%), $44.91 million in FY2022 (-19.8%) and $56 million in FY2021 (+17.4%).
- Quarterly Sales of Property, Plant and Equipment has moved between $198,000 (Q3 2023) and $35.56 million (Q2 2024) over five years.
- Compared with a year earlier, Sales of Property, Plant and Equipment has increased for three straight quarters, with growth averaging 111.5% over the last eight quarters.
- The best year-over-year quarter for Sales of Property, Plant and Equipment over five years was Q4 2023 (growth of 967.2%); the worst was Q3 2023 (a decline of 99.0%).
- Per Business Quant data, ADC's Sales of Property, Plant and Equipment in the three quarters before Q3 2026 was $28.86 million (Q2 2026), $10.07 million (Q1 2026) and $19.3 million (Q4 2025).
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 | 25.81 Mn |
| Jun 30, 2026 | 28.86 Mn |
| Mar 31, 2026 | 10.07 Mn |
| Dec 31, 2025 | 19.30 Mn |
| Sep 30, 2025 | 14.61 Mn |
| Jun 30, 2025 | 5.78 Mn |
| Mar 31, 2025 | 2.38 Mn |
| Dec 31, 2024 | 30.76 Mn |
| Sep 30, 2024 | 6.89 Mn |
| Jun 30, 2024 | 35.56 Mn |
| Mar 31, 2024 | 21.12 Mn |
| Dec 31, 2023 | 10.58 Mn |
| Sep 30, 2023 | 198,000.00 |
| Jun 30, 2023 | 3.07 Mn |
| Dec 31, 2022 | 991,000.00 |
| Sep 30, 2022 | 20.00 Mn |
| Jun 30, 2022 | 16.28 Mn |
| Mar 31, 2022 | 7.64 Mn |
| Dec 31, 2021 | 9.17 Mn |
| Sep 30, 2021 | 11.45 Mn |
Agree Realty Proceeds from Sale of Real Estate 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=proceeds-from-sale-of-real-estate&ticker=ADC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "proceeds-from-sale-of-real-estate", "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=proceeds-from-sale-of-real-estate&ticker=ADC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();