Getty Realty (GTY) Straight-Line Rent Receivable (2010 - 2026)
Getty Realty's Straight-Line Rent Receivable came in at $77.56 million for Q3 2026, up 13.3% from $68.46 million a year earlier and up 3.9% from the prior quarter.
Getty Realty (GTY) Straight-Line Rent Receivable (2010 - 2026) Analysis & Trends
At the end of FY2025, Getty Realty's Straight-Line Rent Receivable was $70.33 million, up 14.3% from FY2024.
- Straight-Line Rent Receivable has increased in each of the last 14 years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Going back by year, Straight-Line Rent Receivable was $61.55 million in FY2024 (+13.1%), $54.42 million in FY2023 (+8.0%), $50.39 million in FY2022 (+7.4%) and $46.93 million in FY2021 (+6.3%).
- The Q3 2026 figure represents the highest quarterly Straight-Line Rent Receivable in data going back to Q4 2010.
- Year-over-year, Straight-Line Rent Receivable has increased for 24 consecutive quarters, with growth averaging 13.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Straight-Line Rent Receivable ran from 6.1% in Q1 2022 to 15.6% in Q3 2025.
- Business Quant data shows GTY's Straight-Line Rent Receivable at $74.67 million (Q2 2026), $72.09 million (Q1 2026) and $70.33 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Straight-Line Rent Receivable (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | - |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | - |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | - |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | - |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | - |
| 10 | Getty Realty | 1.92 Bn | 1.90 Bn | - | 77.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 77.56 Mn |
| Jun 30, 2026 | 74.67 Mn |
| Mar 31, 2026 | 72.09 Mn |
| Dec 31, 2025 | 70.33 Mn |
| Sep 30, 2025 | 68.46 Mn |
| Jun 30, 2025 | 65.90 Mn |
| Mar 31, 2025 | 63.50 Mn |
| Dec 31, 2024 | 61.55 Mn |
| Sep 30, 2024 | 59.23 Mn |
| Jun 30, 2024 | 57.74 Mn |
| Mar 31, 2024 | 55.97 Mn |
| Dec 31, 2023 | 54.42 Mn |
| Sep 30, 2023 | 54.45 Mn |
| Jun 30, 2023 | 52.87 Mn |
| Mar 31, 2023 | 51.59 Mn |
| Dec 31, 2022 | 50.39 Mn |
| Sep 30, 2022 | 49.38 Mn |
| Jun 30, 2022 | 48.52 Mn |
| Mar 31, 2022 | 47.64 Mn |
| Dec 31, 2021 | 46.93 Mn |
Getty Realty Straight-Line Rent Receivable 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=straight-line-rent-receivable&ticker=GTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "straight-line-rent-receivable", "ticker": "GTY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=straight-line-rent-receivable&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();