MultiSensor AI Holdings (MSAI) Return on Sales [ROS] (2023 - 2026)
MultiSensor AI Holdings (MSAI) posted Return on Sales [ROS] of -153.45% for Q2 2026, up 80.38 percentage points from -233.83% a year earlier and up 7.27 percentage points from the prior quarter.
MultiSensor AI Holdings (MSAI) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at MultiSensor AI Holdings was -147.84%, up 199.22 percentage points year-over-year; for FY2025, it was -216.38%, up 38.70 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a three-year change of -51.02 percentage points (FY2022 to FY2025).
- In prior years, MultiSensor AI Holdings' Return on Sales [ROS] was -255.08% in FY2024 (+140.45 pp), -395.52% in FY2023 (-230.17 pp) and -165.35% in FY2022.
- Quarterly Return on Sales [ROS] has run from a low of -808.24% in Q4 2023 to a high of -107.62% in Q3 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last four quarters, with an average year-over-year change of +87.07 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2024, with a gain of 608.67 percentage points; the weakest was Q3 2024, with a drop of 400.62 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -160.72% (Q1 2026), -171.61% (Q4 2025) and -107.62% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 3.68% |
| 10 | MultiSensor AI Holdings | 10.26 Mn | -58.73 Mn | 776,000.00 | -153.45% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -153.45% |
| Mar 31, 2026 | -160.72% |
| Dec 31, 2025 | -171.61% |
| Sep 30, 2025 | -107.62% |
| Jun 30, 2025 | -233.83% |
| Mar 31, 2025 | -394.62% |
| Dec 31, 2024 | -199.57% |
| Sep 30, 2024 | -541.51% |
| Jun 30, 2024 | -228.09% |
| Mar 31, 2024 | -112.75% |
| Dec 31, 2023 | -808.24% |
| Sep 30, 2023 | -140.89% |
| Jun 30, 2023 | -236.42% |
| Mar 31, 2023 | -324.08% |
MultiSensor AI Holdings 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=MSAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MSAI", "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=MSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();