Prologis (PLD) Receivables (2009 - 2025)
Prologis' Receivables was $789.74 million in Q4 2025, up 33.0% from $593.66 million a year earlier.
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Analysis
Prologis (PLD) Receivables (2009 - 2025) Analysis & Trends
From Q4 2009 onward, Prologis has reported Receivables for 31 quarters.
- Receivables shows a five-year compound annual growth rate of 33.1% (FY2020 to FY2025).
- In earlier years, Receivables was $593.66 million in FY2024 (+13.0%), $525.6 million in FY2023 (-8.1%), $571.7 million in FY2022 (+34.8%) and $424.24 million in FY2021 (+124.0%).
- The Q4 2025 figure marks the highest quarterly Receivables in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.62 Bn | 147.11 Bn | 1.39 Bn | 3.24 Bn |
| 2 | Prologis | 124.05 Bn | 119.10 Bn | - | - |
| 3 | Simon Property | 64.60 Bn | 60.45 Bn | - | 880.81 Mn |
| 4 | Realty Income | 51.58 Bn | 49.80 Bn | - | 1.31 Bn |
| 5 | Public Storage | 50.82 Bn | 49.81 Bn | - | - |
| 6 | Ventas | 41.51 Bn | 40.20 Bn | - | 108.05 Mn |
| 7 | Extra Space Storage | 28.30 Bn | 28.30 Bn | 642.43 Mn | 114.68 Mn |
| 8 | Vici Properties | 25.03 Bn | 23.14 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.76 Bn | 22.54 Bn | - | - |
| 10 | Essex Property Trust | 17.33 Bn | 17.10 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 789.74 Mn |
| Dec 31, 2024 | 593.66 Mn |
| Dec 31, 2023 | 525.60 Mn |
| Dec 31, 2022 | 571.70 Mn |
| Dec 31, 2021 | 424.24 Mn |
| Dec 31, 2020 | 189.36 Mn |
| Dec 31, 2019 | 85.84 Mn |
| Dec 31, 2018 | 107.14 Mn |
| Dec 31, 2017 | 85.12 Mn |
| Dec 31, 2016 | 110.92 Mn |
| Dec 31, 2015 | 89.61 Mn |
| Dec 31, 2014 | 103.45 Mn |
| Sep 30, 2014 | 132.46 Mn |
| Jun 30, 2014 | 123.96 Mn |
| Mar 31, 2014 | 114.88 Mn |
| Dec 31, 2013 | 107.96 Mn |
| Sep 30, 2013 | 137.88 Mn |
| Jun 30, 2013 | 124.98 Mn |
| Mar 31, 2013 | 139.69 Mn |
| Dec 31, 2012 | 171.08 Mn |
API Access
Prologis Receivables 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=receivables&ticker=PLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();