Sitime (SITM) Return on Sales [ROS] (2018 - 2026)
Sitime (SITM) recorded Return on Sales [ROS] of 5.22% in Q2 2026, up 40.63 percentage points from -35.41% a year earlier and up 16.08 percentage points from the prior quarter.
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Analysis
Sitime (SITM) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
On a TTM basis, Sitime's Return on Sales [ROS] came in at -3.93% as of Jun 30, 2026, up 35.43 percentage points year-over-year; for FY2025, it came in at -20.50%, up 36.35 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -13.09 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -56.85% in FY2024 (+17.59 pp), -74.45% in FY2023 (-80.14 pp), 5.69% in FY2022 (-9.32 pp) and 15.01% in FY2021 (+22.42 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q2 2022.
- On a year-over-year basis, Return on Sales [ROS] has increased for nine consecutive quarters, with an average year-over-year change of +36.52 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 59.50 percentage points in Q1 2025, against a drop of 132.33 percentage points in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -10.86% (Q1 2026), 1.56% (Q4 2025) and -19.17% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 80.37% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 17.25% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 11.14% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 37.39% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 33.74% |
| 10 | Sitime | 18.81 Bn | 14.48 Bn | 99.14 Mn | 5.22% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.22% |
| Mar 31, 2026 | -10.86% |
| Dec 31, 2025 | 1.56% |
| Sep 30, 2025 | -19.17% |
| Jun 30, 2025 | -35.41% |
| Mar 31, 2025 | -46.60% |
| Dec 31, 2024 | -33.80% |
| Sep 30, 2024 | -43.09% |
| Jun 30, 2024 | -73.68% |
| Mar 31, 2024 | -106.11% |
| Dec 31, 2023 | -64.78% |
| Sep 30, 2023 | -70.88% |
| Jun 30, 2023 | -116.87% |
| Mar 31, 2023 | -57.77% |
| Dec 31, 2022 | -9.42% |
| Sep 30, 2022 | 4.83% |
| Jun 30, 2022 | 15.46% |
| Mar 31, 2022 | 8.63% |
| Dec 31, 2021 | 26.64% |
| Sep 30, 2021 | 22.33% |
API Access
Sitime 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=SITM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SITM", "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=SITM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();