Prologis (PLD) Change in Accured Expenses (2009 - 2026)
Prologis' Change in Accured Expenses was $141.05 million in Q4 2025, up 2.4% from $137.75 million a year earlier but down 21.7% from the prior quarter.
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Analysis
Prologis (PLD) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2025, Change in Accured Expenses at Prologis came in at $225.61 million, up 16.0% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $194.55 million in FY2024 (-23.7%), $255.06 million in FY2023 (+133.9%), $109.03 million in FY2022 (-38.4%) and $176.86 million in FY2021 (+87.9%).
- Quarterly Change in Accured Expenses has moved between -$133.32 million (Q1 2024) and $266.24 million (Q3 2024) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last four quarters, with growth averaging 175.3%.
- Per Business Quant data, PLD's Change in Accured Expenses in the three quarters before Q4 2025 was $180.1 million (Q3 2025), $37.48 million (Q2 2025) and -$133.03 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.25 Bn | 146.74 Bn | 1.39 Bn | - |
| 2 | Prologis | 124.11 Bn | 119.15 Bn | - | 187.04 Mn |
| 3 | Simon Property | 64.82 Bn | 60.67 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.70 Bn | 49.92 Bn | - | 130.70 Mn |
| 5 | Public Storage | 50.81 Bn | 49.80 Bn | - | 144.79 Mn |
| 6 | Ventas | 41.42 Bn | 40.11 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.29 Bn | 28.29 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 25.10 Bn | 23.21 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.73 Bn | 22.51 Bn | - | -25.21 Mn |
| 10 | Essex Property Trust | 17.37 Bn | 17.13 Bn | - | 16.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 187.04 Mn |
| Mar 31, 2026 | -192.70 Mn |
| Dec 31, 2025 | 141.05 Mn |
| Sep 30, 2025 | 180.10 Mn |
| Jun 30, 2025 | 37.48 Mn |
| Mar 31, 2025 | -133.03 Mn |
| Dec 31, 2024 | 137.75 Mn |
| Sep 30, 2024 | 266.24 Mn |
| Jun 30, 2024 | -76.12 Mn |
| Mar 31, 2024 | -133.32 Mn |
| Dec 31, 2023 | 17.72 Mn |
| Sep 30, 2023 | 173.15 Mn |
| Jun 30, 2023 | 126.31 Mn |
| Mar 31, 2023 | -62.12 Mn |
| Dec 31, 2022 | -722,000.00 |
| Sep 30, 2022 | 220.56 Mn |
| Jun 30, 2022 | -7.00 Mn |
| Mar 31, 2022 | -103.81 Mn |
| Dec 31, 2021 | -29.41 Mn |
| Sep 30, 2021 | 252.85 Mn |
API Access
Prologis 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=PLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "PLD", "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=PLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();