Prologis (PLD) FCF Payout Ratio (2009 - 2025)
Prologis' (PLD) quarterly FCF Payout Ratio came in at 2.81 in Q4 2025, up 59.03% on a YoY basis from 1.76 in Q4 2024, and up 144.54% quarter-over-quarter from 1.15 in Q3 2025.
Prologis (PLD) FCF Payout Ratio (2009 - 2025) Analysis & Trends
Prologis (PLD) has reported FCF Payout Ratio for 17 consecutive years, with 2.81 the latest figure, recorded in Q4 2025.
- For the quarter ending Q4 2025, FCF Payout Ratio rose 59.03% year-over-year to 2.81; the trailing twelve-month figure through Dec 2025 stood at 1.69 (down 19.23% YoY), and the FY2025 full-year result was 1.69, down 19.23% from the prior year.
- FCF Payout Ratio improved to 2.81 in Q4 2025 per PLD's latest filing, from 1.15 in the prior quarter.
- Across five years, FCF Payout Ratio topped out at 11.41 in Q3 2021 and bottomed at 1.38 in Q2 2022.
- Historically, FCF Payout Ratio has averaged 2.45 across 5 years, with a median of 1.82 in 2024.
- The sharpest annual moves came in 2021 and 2022: FCF Payout Ratio jumped 1103.9% in 2021, then sank 121.9% in 2022.
- Over 5 years, FCF Payout Ratio stood at 2.82 in 2021, then tumbled by 33.78% to 1.87 in 2022, then retreated by 18.02% to 1.53 in 2023, then increased by 15.14% to 1.76 in 2024, then jumped by 59.03% to 2.81 in 2025.
- According to Business Quant data, FCF Payout Ratio over the past three periods registered 2.81, 1.15, and 1.36 for Q4 2025, Q3 2025, and Q2 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | 0.77 |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | - |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | 0.76 |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | - |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | 0.84 |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | - |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 0.80 |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | 1.60 |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | 0.56 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.81 |
| Sep 30, 2025 | 1.15 |
| Jun 30, 2025 | 1.36 |
| Mar 31, 2025 | 2.47 |
| Dec 31, 2024 | 1.76 |
| Sep 30, 2024 | 1.46 |
| Jun 30, 2024 | 3.56 |
| Mar 31, 2024 | 2.66 |
| Dec 31, 2023 | 1.53 |
| Sep 30, 2023 | 0.46 |
| Jun 30, 2023 | -0.62 |
| Mar 31, 2023 | 4.55 |
| Dec 31, 2022 | 1.87 |
| Sep 30, 2022 | 0.70 |
| Jun 30, 2022 | -1.38 |
| Mar 31, 2022 | 2.91 |
| Dec 31, 2021 | 2.82 |
| Sep 30, 2021 | 11.41 |
| Jun 30, 2021 | 6.30 |
| Mar 31, 2021 | 1.19 |
Prologis FCF Payout Ratio 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=fcf-payout-ratio&ticker=PLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-payout-ratio", "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=fcf-payout-ratio&ticker=PLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();