Kilroy Realty (KRC) Change in Accured Expenses (2009 - 2026)
Kilroy Realty (KRC) recorded Change in Accured Expenses of -$28.55 million in Q4 2025, compared with -$52.52 million a year earlier.
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Analysis
Kilroy Realty (KRC) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2025, Kilroy Realty reported Change in Accured Expenses of $10.53 million.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -17.9% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at -$54.03 million in FY2024, -$2.84 million in FY2023, $48.44 million in FY2022 (+12.7%) and $43 million in FY2021 (+52.7%).
- Quarterly Change in Accured Expenses has ranged from -$52.52 million in Q4 2024 to $70.06 million in Q3 2021 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last four quarters, with growth averaging 11.7%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 255.1% in Q1 2021, against a decline of 66.7% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $35.59 million (Q3 2025), -$18.41 million (Q2 2025) and $21.89 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 187.04 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 130.70 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 144.79 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | -25.21 Mn |
| 10 | Kilroy Realty | 3.91 Bn | 4.13 Bn | - | -35.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -35.34 Mn |
| Mar 31, 2026 | 30.03 Mn |
| Dec 31, 2025 | -28.55 Mn |
| Sep 30, 2025 | 35.59 Mn |
| Jun 30, 2025 | -18.41 Mn |
| Mar 31, 2025 | 21.89 Mn |
| Dec 31, 2024 | -52.52 Mn |
| Sep 30, 2024 | 16.82 Mn |
| Jun 30, 2024 | -44.77 Mn |
| Mar 31, 2024 | 26.45 Mn |
| Dec 31, 2023 | -38.54 Mn |
| Sep 30, 2023 | 50.43 Mn |
| Jun 30, 2023 | -36.97 Mn |
| Mar 31, 2023 | 22.24 Mn |
| Dec 31, 2022 | -27.98 Mn |
| Sep 30, 2022 | 61.95 Mn |
| Jun 30, 2022 | -29.37 Mn |
| Mar 31, 2022 | 43.84 Mn |
| Dec 31, 2021 | -27.13 Mn |
| Sep 30, 2021 | 70.06 Mn |
API Access
Kilroy Realty 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=KRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "KRC", "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=KRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();