Netstreit (NTST) Long-Term Debt Repayments (2019 - 2026)
Netstreit (NTST) recorded Long-Term Debt Repayments of $42,000 in Q2 2026, down 2.3% from the prior quarter.
Netstreit (NTST) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
On a TTM basis, Netstreit's Long-Term Debt Repayments came in at $85,000 as of Jun 30, 2026, down 99.8% year-over-year; for FY2025, it was $43.68 million.
- Annual Long-Term Debt Repayments has a three-year compound annual growth rate of 869.0% (FY2022 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $155,000 in FY2024 (+12.3%), $138,000 in FY2023 (+187.5%) and $48,000 in FY2022.
- The Q2 2026 figure is the lowest quarterly Long-Term Debt Repayments since Q4 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 1.12 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 1.09 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 600.00 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 34,000.00 |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 868.15 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 6.00 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Netstreit | 1.79 Bn | 1.80 Bn | - | 42,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42,000.00 |
| Mar 31, 2026 | 43,000.00 |
| Mar 31, 2025 | 43.68 Mn |
| Dec 31, 2024 | 40,000.00 |
| Sep 30, 2024 | 38,000.00 |
| Jun 30, 2024 | 38,000.00 |
| Mar 31, 2024 | 39,000.00 |
| Dec 31, 2023 | 39,000.00 |
| Sep 30, 2023 | 36,000.00 |
| Jun 30, 2023 | 37,000.00 |
| Mar 31, 2023 | 26,000.00 |
| Dec 31, 2022 | 36,000.00 |
| Sep 30, 2022 | 12,000.00 |
| Dec 31, 2019 | -53.81 Mn |
Netstreit Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=NTST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "NTST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=NTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();