Simon Property (SPG) Change in Accured Expenses (2009 - 2026)
Simon Property (SPG) recorded Change in Accured Expenses of -$301.36 million in Q1 2026, compared with -$226.55 million a year earlier.
Simon Property (SPG) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Simon Property's Change in Accured Expenses came in at -$30.28 million as of Mar 31, 2026; for FY2025, it was $44.53 million, down 65.0% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 18.5% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at $127.24 million in FY2024 (-48.2%), $245.51 million in FY2023 (+29.1%), $190.1 million in FY2022 (-6.8%) and $203.97 million in FY2021 (+969.0%).
- The Q1 2026 figure is the lowest quarterly Change in Accured Expenses in data going back to Q1 2009.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last four quarters, with growth averaging 13.9%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 141.2% in Q2 2025, against a decline of 82.0% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $28.09 million (Q4 2025), $5.01 million (Q3 2025) and $237.98 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.27 Bn | 144.76 Bn | 1.39 Bn | - |
| 2 | Prologis | 123.38 Bn | 118.42 Bn | - | 187.04 Mn |
| 3 | Simon Property | 64.69 Bn | 60.54 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.11 Bn | 49.33 Bn | - | 130.70 Mn |
| 5 | Public Storage | 50.26 Bn | 49.25 Bn | - | 144.79 Mn |
| 6 | Ventas | 40.91 Bn | 39.60 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.00 Bn | 28.00 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 24.79 Bn | 22.91 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - | -25.21 Mn |
| 10 | Essex Property Trust | 17.33 Bn | 17.10 Bn | - | 16.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -301.36 Mn |
| Dec 31, 2025 | 28.09 Mn |
| Sep 30, 2025 | 5.01 Mn |
| Jun 30, 2025 | 237.98 Mn |
| Mar 31, 2025 | -226.55 Mn |
| Dec 31, 2024 | 156.31 Mn |
| Sep 30, 2024 | -14.89 Mn |
| Jun 30, 2024 | 98.67 Mn |
| Mar 31, 2024 | -112.84 Mn |
| Dec 31, 2023 | 106.83 Mn |
| Sep 30, 2023 | 68.49 Mn |
| Jun 30, 2023 | 196.46 Mn |
| Mar 31, 2023 | -126.27 Mn |
| Dec 31, 2022 | 100.56 Mn |
| Sep 30, 2022 | 45.00 Mn |
| Jun 30, 2022 | 192.91 Mn |
| Mar 31, 2022 | -148.37 Mn |
| Dec 31, 2021 | 95.14 Mn |
| Sep 30, 2021 | 88.10 Mn |
| Jun 30, 2021 | 119.78 Mn |
Simon Property Change in Accured Expenses 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=change-in-accured-expenses&ticker=SPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SPG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=SPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();