Zoned Properties (ZDPY) Non Operating Interest Expenses (2015 - 2024)
Zoned Properties' Non Operating Interest Expenses was $158,039 in Q1 2024, up 2.3% from $154,500 a year earlier but down 70.4% from the prior quarter.
Zoned Properties (ZDPY) Non Operating Interest Expenses (2015 - 2024) Analysis & Trends
On a trailing twelve-month basis, Zoned Properties' Non Operating Interest Expenses was $627,632 through Mar 31, 2024, up 119.7% year-over-year; for FY2023, it came in at $624,093, up 287.3% from FY2022.
- Non Operating Interest Expenses shows a four-year compound annual growth rate of 51.0% (FY2019 to FY2023).
- In earlier years, Non Operating Interest Expenses was $161,150 in FY2022 (+34.3%), $120,000 in FY2021 (unchanged), $120,000 in FY2020 (unchanged) and $120,000 in FY2019.
- Quarterly Non Operating Interest Expenses has moved between -$94,500 (Q2 2023) and $534,093 (Q4 2023) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in four of the last seven quarters, with growth averaging 172.2%.
- Over the past five years, the year-over-year growth in Non Operating Interest Expenses ranged from 0.0% (Q1 2020) to 650.7% (Q4 2023).
- Per Business Quant data, ZDPY's Non Operating Interest Expenses in the three quarters before Q1 2024 was $534,093 (Q4 2023), $30,000 (Q3 2023) and -$94,500 (Q2 2023).
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 | Zoned Properties | 5.54 Mn | -1.36 Mn | 28,391.00 | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 158,039.00 |
| Dec 31, 2023 | 534,093.00 |
| Sep 30, 2023 | 30,000.00 |
| Jun 30, 2023 | -94,500.00 |
| Mar 31, 2023 | 154,500.00 |
| Dec 31, 2022 | 71,150.00 |
| Sep 30, 2022 | 30,000.00 |
| Jun 30, 2022 | 30,000.00 |
| Mar 31, 2022 | 30,000.00 |
| Dec 31, 2021 | 30,000.00 |
| Sep 30, 2021 | 30,000.00 |
| Jun 30, 2021 | 30,000.00 |
| Mar 31, 2021 | 30,000.00 |
| Dec 31, 2020 | 30,000.00 |
| Sep 30, 2020 | 30,000.00 |
| Jun 30, 2020 | 30,000.00 |
| Mar 31, 2020 | 30,000.00 |
| Dec 31, 2019 | 30,000.00 |
| Sep 30, 2019 | 30,000.00 |
| Jun 30, 2019 | 30,000.00 |
Zoned Properties 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=ZDPY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "ZDPY", "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=ZDPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();