Ltc Properties (LTC) Receivables - Accured (2010 - 2026)
Ltc Properties (LTC) posted Receivables - Accured of $24.62 million for Q2 2026, down 61.8% from $64.45 million a year earlier but up 5.8% from the prior quarter.
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Analysis
Ltc Properties (LTC) Receivables - Accured (2010 - 2026) Analysis & Trends
At the end of FY2025, Ltc Properties' Receivables - Accured came in at $22.72 million, down 62.3% from FY2024.
- Annual Receivables - Accured shows a five-year compound annual growth rate of -7.0% (FY2020 to FY2025).
- In prior years, Ltc Properties' Receivables - Accured was $60.26 million in FY2024 (+11.7%), $53.96 million in FY2023 (+17.3%), $46 million in FY2022 (+16.4%) and $39.52 million in FY2021 (+20.7%).
- Quarterly Receivables - Accured has run from a low of $21.54 million in Q3 2025 to a high of $64.45 million in Q2 2025 over five years.
- On a year-over-year basis, Receivables - Accured has declined in each of the last four quarters, with an average decline of 26.0% over the last eight quarters.
- The strongest year-over-year quarter for Receivables - Accured in the past five years was Q3 2023, with growth of 23.3%; the weakest was Q3 2025, with a decline of 63.1%.
- According to Business Quant data, Receivables - Accured for the three prior quarters was $23.28 million (Q1 2026), $22.72 million (Q4 2025) and $21.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables - Accured (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | - |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | - |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | - |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 43.45 Mn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | - |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | - |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 18.38 Mn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | Ltc Properties | 2.32 Bn | 2.40 Bn | - | 24.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.62 Mn |
| Mar 31, 2026 | 23.28 Mn |
| Dec 31, 2025 | 22.72 Mn |
| Sep 30, 2025 | 21.54 Mn |
| Jun 30, 2025 | 64.45 Mn |
| Mar 31, 2025 | 61.75 Mn |
| Dec 31, 2024 | 60.26 Mn |
| Sep 30, 2024 | 58.42 Mn |
| Jun 30, 2024 | 57.47 Mn |
| Mar 31, 2024 | 55.84 Mn |
| Dec 31, 2023 | 53.96 Mn |
| Sep 30, 2023 | 54.61 Mn |
| Jun 30, 2023 | 50.59 Mn |
| Mar 31, 2023 | 48.08 Mn |
| Dec 31, 2022 | 46.00 Mn |
| Sep 30, 2022 | 44.29 Mn |
| Jun 30, 2022 | 42.71 Mn |
| Mar 31, 2022 | 41.17 Mn |
| Dec 31, 2021 | 39.52 Mn |
| Sep 30, 2021 | 37.48 Mn |
API Access
Ltc Properties Receivables - Accured 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=receivables-accured&ticker=LTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-accured", "ticker": "LTC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables-accured&ticker=LTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();