Ltc Properties (LTC) Return on Sales [ROS] (2013 - 2026)
Ltc Properties (LTC) posted Return on Sales [ROS] of 33.18% for Q2 2026, down 6.18 percentage points from 39.36% a year earlier and down 4.09 percentage points from the prior quarter.
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Analysis
Ltc Properties (LTC) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Ltc Properties was 26.78%, down 15.18 percentage points year-over-year; for FY2025, it came in at 28.45%, down 15.60 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three consecutive years, with a five-year change of -31.57 percentage points (FY2020 to FY2025).
- In prior years, Ltc Properties' Return on Sales [ROS] was 44.05% in FY2024 (-1.56 pp), 45.61% in FY2023 (-10.96 pp), 56.57% in FY2022 (+21.28 pp) and 35.29% in FY2021 (-24.73 pp).
- Quarterly Return on Sales [ROS] has run from a low of -13.58% in Q3 2025 to a high of 125.78% in Q2 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -11.18 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2022, with a gain of 78.69 percentage points; the weakest was Q2 2023, with a drop of 112.87 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 37.27% (Q1 2026), 40.56% (Q4 2025) and -13.58% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | 51.59% |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | 43.38% |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | 45.77% |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 37.85% |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | 12.39% |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | - |
| 10 | Ltc Properties | 2.30 Bn | 2.37 Bn | - | 33.18% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.18% |
| Mar 31, 2026 | 37.27% |
| Dec 31, 2025 | 40.56% |
| Sep 30, 2025 | -13.58% |
| Jun 30, 2025 | 39.36% |
| Mar 31, 2025 | 37.85% |
| Dec 31, 2024 | 35.92% |
| Sep 30, 2024 | 54.08% |
| Jun 30, 2024 | 38.05% |
| Mar 31, 2024 | 47.33% |
| Dec 31, 2023 | 56.37% |
| Sep 30, 2023 | 45.13% |
| Jun 30, 2023 | 12.91% |
| Mar 31, 2023 | 67.04% |
| Dec 31, 2022 | 37.25% |
| Sep 30, 2022 | 29.91% |
| Jun 30, 2022 | 125.78% |
| Mar 31, 2022 | 34.65% |
| Dec 31, 2021 | 31.83% |
| Sep 30, 2021 | 28.66% |
API Access
Ltc Properties Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();