Prologis (PLD) Tax Provisions (2010 - 2026)
Prologis (PLD) recorded Tax Provisions of $97.96 million in Q3 2026, up 79.6% from $54.54 million a year earlier but down 9.4% from the prior quarter.
Prologis (PLD) Tax Provisions (2010 - 2026) Analysis & Trends
On a TTM basis, Prologis' Tax Provisions came in at $336.8 million as of Sep 30, 2026, up 61.8% year-over-year; for FY2025, it came in at $204.02 million, up 22.2% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $166.94 million in FY2024 (-20.9%), $211.04 million in FY2023 (+55.8%), $135.41 million in FY2022 (-22.3%) and $174.26 million in FY2021 (+33.6%).
- Quarterly Tax Provisions has ranged from $4.21 million in Q3 2024 to $108.17 million in Q2 2026 over the past five years.
- On a year-over-year basis, Tax Provisions has increased for three consecutive quarters, with growth averaging 69.0% over the last seven quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 362.2% in Q2 2026, against a decline of 89.8% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $108.17 million (Q2 2026), $47.97 million (Q1 2026) and $82.69 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 175.33 Bn | 162.40 Bn | 1.47 Bn | 7.12 Mn |
| 2 | Prologis | 123.26 Bn | 121.65 Bn | - | 97.96 Mn |
| 3 | Simon Property | 76.07 Bn | 73.28 Bn | - | 10.81 Mn |
| 4 | Public Storage | 62.23 Bn | 61.68 Bn | - | -15.04 Mn |
| 5 | Realty Income | 54.52 Bn | 55.13 Bn | - | 25.81 Mn |
| 6 | Ventas | 45.86 Bn | 45.03 Bn | - | -19.30 Mn |
| 7 | Extra Space Storage | 32.95 Bn | 32.73 Bn | 650.96 Mn | 12.07 Mn |
| 8 | Vici Properties | 27.52 Bn | 25.87 Bn | 1.06 Bn | 2.58 Mn |
| 9 | Vivmark Residential | 23.32 Bn | 23.29 Bn | - | 411,000.00 |
| 10 | Host Hotels & Resorts | 17.52 Bn | 12.78 Bn | 609.00 Mn | 18.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 97.96 Mn |
| Jun 30, 2026 | 108.17 Mn |
| Mar 31, 2026 | 47.97 Mn |
| Dec 31, 2025 | 82.69 Mn |
| Sep 30, 2025 | 54.54 Mn |
| Jun 30, 2025 | 23.41 Mn |
| Mar 31, 2025 | 43.38 Mn |
| Dec 31, 2024 | 86.87 Mn |
| Sep 30, 2024 | 4.21 Mn |
| Jun 30, 2024 | 43.06 Mn |
| Mar 31, 2024 | 32.80 Mn |
| Dec 31, 2023 | 58.50 Mn |
| Sep 30, 2023 | 41.24 Mn |
| Jun 30, 2023 | 79.23 Mn |
| Mar 31, 2023 | 32.07 Mn |
| Dec 31, 2022 | 17.69 Mn |
| Sep 30, 2022 | 38.67 Mn |
| Jun 30, 2022 | 49.83 Mn |
| Mar 31, 2022 | 29.22 Mn |
| Dec 31, 2021 | 39.91 Mn |
Prologis Tax Provisions 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=tax-provisions&ticker=PLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=PLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();