Phillips Edison & Company (PECO) Long-Term Debt Repayments (2011 - 2026)
Phillips Edison & Company (PECO) posted Long-Term Debt Repayments of $521,000 for Q2 2026, down 97.6% from $21.63 million a year earlier and down 99.8% from the prior quarter.
Phillips Edison & Company (PECO) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Phillips Edison & Company was $425.7 million, up 34.9% year-over-year; for FY2025, it was $145.58 million, down 64.4% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- In prior years, Phillips Edison & Company's Long-Term Debt Repayments was $408.47 million in FY2024 (+302.4%), $101.5 million in FY2023 (+23.9%), $81.92 million in FY2022 (-93.3%) and $1.23 billion in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Long-Term Debt Repayments since Q4 2013.
- On a year-over-year basis, Long-Term Debt Repayments increased in 1 of the last five quarters, with growth averaging 16.4%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2024, with growth of 577.6%; the weakest was Q3 2025, with a decline of 99.6%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $323.63 million (Q1 2026), $100.51 million (Q4 2025) and $1.04 million (Q3 2025).
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 | Phillips Edison & Company | 4.81 Bn | 5.10 Bn | - | 521,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 521,000.00 |
| Mar 31, 2026 | 323.63 Mn |
| Dec 31, 2025 | 100.51 Mn |
| Sep 30, 2025 | 1.04 Mn |
| Jun 30, 2025 | 21.63 Mn |
| Mar 31, 2025 | 22.41 Mn |
| Dec 31, 2024 | 721,000.00 |
| Sep 30, 2024 | 270.78 Mn |
| Jun 30, 2024 | 135.92 Mn |
| Mar 31, 2024 | 1.04 Mn |
| Dec 31, 2023 | 1.03 Mn |
| Sep 30, 2023 | 54.94 Mn |
| Jun 30, 2023 | 20.06 Mn |
| Mar 31, 2023 | 25.48 Mn |
| Dec 31, 2022 | 1.29 Mn |
| Sep 30, 2022 | 12.07 Mn |
| Jun 30, 2022 | 6.04 Mn |
| Mar 31, 2022 | 62.52 Mn |
| Dec 31, 2021 | 152.29 Mn |
| Sep 30, 2021 | 1.01 Bn |
Phillips Edison & Company 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=PECO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PECO", "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=PECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();