Piedmont Realty Trust (PDM) Long-Term Debt Repayments (2009 - 2026)
Piedmont Realty Trust (PDM) reported Long-Term Debt Repayments of $398.2 million for Q3 2026, up 599.8% from $56.91 million a year earlier and up 298.5% from the prior quarter.
Piedmont Realty Trust (PDM) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Piedmont Realty Trust's Long-Term Debt Repayments came in at $974.17 million, up 65.6% year-over-year; for FY2025, it came in at $1 billion, up 32.8% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $754.61 million in FY2024 (-43.9%), $1.34 billion in FY2023 (+49.9%), $897 million in FY2022 (+67.5%) and $535.61 million in FY2021 (-48.3%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $868,000 in Q3 2024 and a high of $612.13 million in Q3 2023.
- Year over year, Long-Term Debt Repayments gained in 1 of the last six quarters, with growth averaging 54.3%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q1 2024 (growth of 739.6%); the low point was Q3 2024 (a decline of 99.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $99.93 million (Q2 2026), $60.92 million (Q1 2026) and $415.12 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 181.70 Bn | 168.77 Bn | 1.47 Bn | 1.19 Bn |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - | 382.44 Mn |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - | 4.87 Bn |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn | 183.83 Mn |
| 5 | Realty Income | 56.61 Bn | 57.99 Bn | - | 61.00 Bn |
| 6 | Ryman Hospitality Properties | 47.80 Bn | 46.64 Bn | 266.41 Mn | - |
| 7 | Ventas | 47.78 Bn | 46.95 Bn | -3.39 Bn | 133.33 Mn |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - | 565.55 Mn |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn | 6.12 Bn |
| 10 | Piedmont Realty Trust | 1.23 Bn | 1.21 Bn | 91.21 Mn | 398.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 398.20 Mn |
| Jun 30, 2026 | 99.93 Mn |
| Mar 31, 2026 | 60.92 Mn |
| Dec 31, 2025 | 415.12 Mn |
| Sep 30, 2025 | 56.91 Mn |
| Jun 30, 2025 | 126.44 Mn |
| Mar 31, 2025 | 403.89 Mn |
| Dec 31, 2024 | 877,000.00 |
| Sep 30, 2024 | 868,000.00 |
| Jun 30, 2024 | 307.86 Mn |
| Mar 31, 2024 | 445.01 Mn |
| Dec 31, 2023 | 296.84 Mn |
| Sep 30, 2023 | 612.13 Mn |
| Jun 30, 2023 | 383.00 Mn |
| Mar 31, 2023 | 53.00 Mn |
| Dec 31, 2022 | 204.00 Mn |
| Sep 30, 2022 | 271.00 Mn |
| Jun 30, 2022 | 126.00 Mn |
| Mar 31, 2022 | 296.00 Mn |
| Dec 31, 2021 | 51.00 Mn |
Piedmont Realty Trust 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=PDM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PDM", "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=PDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();