Piedmont Realty Trust (PDM) Change in Accured Expenses (2010 - 2026)
Piedmont Realty Trust's Change in Accured Expenses was $30.8 million in Q2 2026, up 75.0% from $17.6 million a year earlier.
Powered by 
Analysis
Piedmont Realty Trust (PDM) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Piedmont Realty Trust's Change in Accured Expenses was $6.72 million through Jun 30, 2026, up 102.7% year-over-year; for FY2025, it was -$18.24 million.
- In earlier years, Change in Accured Expenses was $14.44 million in FY2024 (-25.0%), $19.26 million in FY2023, -$1.59 million in FY2022 and $1.86 million in FY2021 (-70.3%).
- The Q2 2026 figure marks the highest quarterly Change in Accured Expenses in data going back to Q1 2010.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last four quarters, with growth averaging 87.1%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2024 (growth of 927.5%); the worst was Q3 2024 (a decline of 87.6%).
- Per Business Quant data, PDM's Change in Accured Expenses in the three quarters before Q2 2026 was -$18 million (Q1 2026), -$321,000 (Q4 2025) and -$5.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 187.04 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 130.70 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 144.79 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | -25.21 Mn |
| 10 | Piedmont Realty Trust | 1.13 Bn | 1.13 Bn | 88.14 Mn | 30.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.80 Mn |
| Mar 31, 2026 | -18.00 Mn |
| Dec 31, 2025 | -321,000.00 |
| Sep 30, 2025 | -5.77 Mn |
| Jun 30, 2025 | 17.60 Mn |
| Mar 31, 2025 | -29.75 Mn |
| Dec 31, 2024 | 12.82 Mn |
| Sep 30, 2024 | 2.64 Mn |
| Jun 30, 2024 | 22.61 Mn |
| Mar 31, 2024 | -23.63 Mn |
| Dec 31, 2023 | 2.65 Mn |
| Sep 30, 2023 | 21.25 Mn |
| Jun 30, 2023 | 2.20 Mn |
| Mar 31, 2023 | -6.84 Mn |
| Dec 31, 2022 | -6.16 Mn |
| Sep 30, 2022 | 15.76 Mn |
| Jun 30, 2022 | 7.88 Mn |
| Mar 31, 2022 | -19.07 Mn |
| Dec 31, 2021 | 1.52 Mn |
| Sep 30, 2021 | 9.16 Mn |
API Access
Piedmont Realty Trust Change in Accured 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=change-in-accured-expenses&ticker=PDM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=PDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();