Bxp (BXP) Change in Other Operating Liabilities (2009 - 2026)
Bxp (BXP) recorded Change in Other Operating Liabilities of $7.63 million in Q3 2026, up 965.6% from $716,000 a year earlier.
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Analysis
Bxp (BXP) Change in Other Operating Liabilities (2009 - 2026) Analysis & Trends
On a TTM basis, Bxp's Change in Other Operating Liabilities came in at $124,000 as of Sep 30, 2026, down 98.3% year-over-year; for FY2025, it came in at -$19.13 million.
- Across earlier years, Change in Other Operating Liabilities came in at $12.83 million in FY2024 (+76.5%), $7.27 million in FY2023, -$24.12 million in FY2022 and -$28.74 million in FY2021.
- Quarterly Change in Other Operating Liabilities has ranged from -$38.34 million in Q2 2023 to $48.16 million in Q4 2024 over the past five years.
- On a year-over-year basis, Change in Other Operating Liabilities rose in two of the last four quarters, with growth averaging 273.1%.
- Peak year-over-year performance for Change in Other Operating Liabilities in the last five years was growth of 965.6% in Q3 2026, against a decline of 81.7% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -$3.73 million (Q2 2026), -$25.51 million (Q1 2026) and $21.74 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 93.07 Mn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | -2.37 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | - |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | -12.47 Mn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | - |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | -54.16 Mn |
| 10 | Bxp | 10.18 Bn | 6.78 Bn | 901.51 Mn | 7.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.63 Mn |
| Jun 30, 2026 | -3.73 Mn |
| Mar 31, 2026 | -25.51 Mn |
| Dec 31, 2025 | 21.74 Mn |
| Sep 30, 2025 | 716,000.00 |
| Jun 30, 2025 | -29.72 Mn |
| Mar 31, 2025 | -11.86 Mn |
| Dec 31, 2024 | 48.16 Mn |
| Sep 30, 2024 | 2.84 Mn |
| Jun 30, 2024 | -25.32 Mn |
| Mar 31, 2024 | -12.85 Mn |
| Dec 31, 2023 | 13.52 Mn |
| Sep 30, 2023 | 15.52 Mn |
| Jun 30, 2023 | -38.34 Mn |
| Mar 31, 2023 | 16.57 Mn |
| Dec 31, 2022 | 11.37 Mn |
| Sep 30, 2022 | 2.24 Mn |
| Jun 30, 2022 | -25.59 Mn |
| Mar 31, 2022 | -12.15 Mn |
| Dec 31, 2021 | 23.20 Mn |
API Access
Bxp Change in Other Operating Liabilities 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-other-operating-liabilities&ticker=BXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-liabilities", "ticker": "BXP", "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-other-operating-liabilities&ticker=BXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();