Prologis (PLD) Depreciation & Amortization (CF) (2010 - 2026)
Prologis (PLD) recorded Depreciation & Amortization (CF) of $689.52 million in Q2 2026, up 4.9% from $657.22 million a year earlier.
Prologis (PLD) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a TTM basis, Prologis' Depreciation & Amortization (CF) came in at $2.66 billion as of Jun 30, 2026, up 1.9% year-over-year; for FY2025, it came in at $2.63 billion, up 1.8% from FY2024.
- Annual Depreciation & Amortization (CF) has increased for eight straight years, with a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $2.58 billion in FY2024 (+3.8%), $2.48 billion in FY2023 (+37.1%), $1.81 billion in FY2022 (+14.9%) and $1.58 billion in FY2021 (+1.0%).
- The Q2 2026 figure is the highest quarterly Depreciation & Amortization (CF) in data going back to Q3 2010.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in six of the last seven quarters, with growth averaging 2.3%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 59.9% in Q3 2023, against a decline of 4.9% in Q4 2021 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.25 Bn | 146.74 Bn | 1.39 Bn | 737.76 Mn |
| 2 | Prologis | 124.09 Bn | 119.13 Bn | - | 689.52 Mn |
| 3 | Simon Property | 64.79 Bn | 60.64 Bn | - | 532.59 Mn |
| 4 | Realty Income | 51.71 Bn | 49.93 Bn | - | 644.68 Mn |
| 5 | Public Storage | 50.81 Bn | 49.80 Bn | - | 287.76 Mn |
| 6 | Ventas | 41.44 Bn | 40.13 Bn | - | 407.71 Mn |
| 7 | Extra Space Storage | 28.30 Bn | 28.30 Bn | 642.43 Mn | 185.61 Mn |
| 8 | Vici Properties | 25.09 Bn | 23.21 Bn | 1.05 Bn | 998,000.00 |
| 9 | Vivmark Residential | 22.72 Bn | 22.50 Bn | - | 246.38 Mn |
| 10 | Essex Property Trust | 17.34 Bn | 17.10 Bn | - | 154.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 689.52 Mn |
| Mar 31, 2026 | 731.51 Mn |
| Dec 31, 2025 | 668.75 Mn |
| Sep 30, 2025 | 648.00 Mn |
| Jun 30, 2025 | 657.22 Mn |
| Mar 31, 2025 | 652.06 Mn |
| Dec 31, 2024 | 656.44 Mn |
| Sep 30, 2024 | 649.27 Mn |
| Jun 30, 2024 | 637.31 Mn |
| Mar 31, 2024 | 637.51 Mn |
| Dec 31, 2023 | 638.35 Mn |
| Sep 30, 2023 | 642.01 Mn |
| Jun 30, 2023 | 602.17 Mn |
| Mar 31, 2023 | 602.37 Mn |
| Dec 31, 2022 | 612.37 Mn |
| Sep 30, 2022 | 401.45 Mn |
| Jun 30, 2022 | 402.31 Mn |
| Mar 31, 2022 | 396.65 Mn |
| Dec 31, 2021 | 396.83 Mn |
| Sep 30, 2021 | 390.81 Mn |
Prologis Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=PLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=PLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();