Agree Realty (ADC) Non Operating Interest Expenses (2010 - 2026)
Agree Realty's Non Operating Interest Expenses came in at $40.28 million for Q2 2026, up 24.8% from $32.27 million a year earlier and up 12.0% from the prior quarter.
Agree Realty (ADC) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Agree Realty reported Non Operating Interest Expenses of $147.82 million, up 22.1% year-over-year; for FY2025, it was $134.61 million, up 23.6% from FY2024.
- Non Operating Interest Expenses has increased in each of the last 15 years, with a five-year compound annual growth rate of 27.4% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $108.9 million in FY2024 (+34.3%), $81.12 million in FY2023 (+27.9%), $63.44 million in FY2022 (+25.9%) and $50.38 million in FY2021 (+25.6%).
- The Q2 2026 figure represents the highest quarterly Non Operating Interest Expenses in data going back to Q2 2010.
- Year-over-year, Non Operating Interest Expenses has increased for 54 consecutive quarters, with growth averaging 25.7% over the last eight quarters.
- The year-over-year growth in Non Operating Interest Expenses has ranged between 11.2% (Q4 2021) and 39.1% (Q3 2024) over the last five years.
- Business Quant data shows ADC's Non Operating Interest Expenses at $35.97 million (Q1 2026), $36.36 million (Q4 2025) and $35.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | Agree Realty | 8.31 Bn | 8.24 Bn | - | 40.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.28 Mn |
| Mar 31, 2026 | 35.97 Mn |
| Dec 31, 2025 | 36.36 Mn |
| Sep 30, 2025 | 35.21 Mn |
| Jun 30, 2025 | 32.27 Mn |
| Mar 31, 2025 | 30.76 Mn |
| Dec 31, 2024 | 29.10 Mn |
| Sep 30, 2024 | 28.94 Mn |
| Jun 30, 2024 | 26.42 Mn |
| Mar 31, 2024 | 24.45 Mn |
| Dec 31, 2023 | 22.37 Mn |
| Sep 30, 2023 | 20.80 Mn |
| Jun 30, 2023 | 19.95 Mn |
| Mar 31, 2023 | 18.00 Mn |
| Dec 31, 2022 | 16.84 Mn |
| Sep 30, 2022 | 17.15 Mn |
| Jun 30, 2022 | 15.51 Mn |
| Mar 31, 2022 | 13.93 Mn |
| Dec 31, 2021 | 13.11 Mn |
| Sep 30, 2021 | 13.07 Mn |
Agree Realty Non Operating Interest 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=non-operating-interest-expenses&ticker=ADC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=ADC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();