Latch (LTCH) Return on Sales [ROS] (2020 - 2026)
Latch's Return on Sales [ROS] was -46.20% in Q2 2026, down 6.40 percentage points from -39.80% a year earlier and down 10.89 percentage points from the prior quarter.
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Analysis
Latch (LTCH) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Latch's Return on Sales [ROS] was -70.37% through Jun 30, 2026, down 0.84 percentage points year-over-year; for FY2025, it came in at -75.19%, up 29.73 percentage points from FY2024.
- Return on Sales [ROS] has now increased for four consecutive years, with a five-year change of +410.77 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -104.92% in FY2024 (+140.34 pp), -245.25% in FY2023 (+139.43 pp), -384.69% in FY2022 (+156.68 pp) and -541.36% in FY2021 (-55.41 pp).
- Quarterly Return on Sales [ROS] has moved between -671.20% (Q4 2021) and -35.31% (Q1 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in six of the last eight quarters, with an average year-over-year change of +49.91 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2022 (a gain of 400.51 percentage points); the worst was Q3 2021 (a drop of 188.20 percentage points).
- Per Business Quant data, LTCH's Return on Sales [ROS] in the three quarters before Q2 2026 was -35.31% (Q1 2026), -155.56% (Q4 2025) and -36.30% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | Latch | 26.50 Mn | -102.75 Mn | 7.66 Mn | -46.20% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -46.20% |
| Mar 31, 2026 | -35.31% |
| Dec 31, 2025 | -155.56% |
| Sep 30, 2025 | -36.30% |
| Jun 30, 2025 | -39.80% |
| Mar 31, 2025 | -69.89% |
| Dec 31, 2024 | -61.25% |
| Sep 30, 2024 | -116.35% |
| Jun 30, 2024 | -137.58% |
| Mar 31, 2024 | -116.25% |
| Dec 31, 2023 | -123.08% |
| Sep 30, 2023 | -295.75% |
| Jun 30, 2023 | -308.03% |
| Mar 31, 2023 | -297.10% |
| Dec 31, 2022 | -270.69% |
| Sep 30, 2022 | -367.10% |
| Jun 30, 2022 | -513.79% |
| Mar 31, 2022 | -392.76% |
| Dec 31, 2021 | -671.20% |
| Sep 30, 2021 | -491.18% |
API Access
Latch 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=LTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LTCH", "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=LTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();