W. P. Carey (WPC) Short-Term Debt repayments (2009 - 2026)
W. P. Carey (WPC) posted Short-Term Debt repayments of $822.41 million for Q2 2026, up 95.0% from $421.77 million a year earlier but down 35.1% from the prior quarter.
W. P. Carey (WPC) Short-Term Debt repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Short-Term Debt repayments at W. P. Carey was $3.96 billion, up 235.2% year-over-year; for FY2025, it came in at $2.74 billion, up 74.9% from FY2024.
- Annual Short-Term Debt repayments shows a five-year compound annual growth rate of 19.2% (FY2020 to FY2025).
- In prior years, W. P. Carey's Short-Term Debt repayments was $1.57 billion in FY2024 (-35.8%), $2.44 billion in FY2023 (+12.5%), $2.17 billion in FY2022 (+30.3%) and $1.66 billion in FY2021 (+46.3%).
- Quarterly Short-Term Debt repayments has run from a low of $63.19 million in Q3 2024 to a high of $1.27 billion in Q1 2026 over five years.
- On a year-over-year basis, Short-Term Debt repayments has increased in each of the last three quarters, with growth averaging 38.7% over the last seven quarters.
- The strongest year-over-year quarter for Short-Term Debt repayments in the past five years was Q1 2023, with growth of 222.9%; the weakest was Q3 2024, with a decline of 84.2%.
- According to Business Quant data, Short-Term Debt repayments for the three prior quarters was $1.27 billion (Q1 2026), $704.02 million (Q4 2025) and $1.17 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 150.00 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | W. P. Carey | 14.73 Bn | 14.74 Bn | - | 822.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 822.41 Mn |
| Mar 31, 2026 | 1.27 Bn |
| Dec 31, 2025 | 704.02 Mn |
| Sep 30, 2025 | 1.17 Bn |
| Jun 30, 2025 | 421.77 Mn |
| Mar 31, 2025 | 443.24 Mn |
| Dec 31, 2024 | 254.55 Mn |
| Sep 30, 2024 | 63.19 Mn |
| Jun 30, 2024 | 508.25 Mn |
| Mar 31, 2024 | 740.45 Mn |
| Dec 31, 2023 | 462.30 Mn |
| Sep 30, 2023 | 400.30 Mn |
| Jun 30, 2023 | 941.51 Mn |
| Mar 31, 2023 | 635.65 Mn |
| Dec 31, 2022 | 811.14 Mn |
| Sep 30, 2022 | 699.39 Mn |
| Jun 30, 2022 | 461.03 Mn |
| Mar 31, 2022 | 196.84 Mn |
| Dec 31, 2021 | 484.32 Mn |
| Sep 30, 2021 | 286.45 Mn |
W. P. Carey Short-Term Debt repayments 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=short-term-debt-repayments&ticker=WPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "ticker": "WPC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt-repayments&ticker=WPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();