MultiSensor AI Holdings (MSAI) Return on Capital Employed [ROCE] (2022 - 2026)
MultiSensor AI Holdings' Return on Capital Employed [ROCE] came in at -31.92% for Q2 2026, up 147.64 percentage points from -179.56% a year earlier but down 0.67 percentage points from the prior quarter.
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Analysis
MultiSensor AI Holdings (MSAI) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, MultiSensor AI Holdings' Return on Capital Employed [ROCE] was -52.62%, up 93.66 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a three-year change of -32.95 percentage points (FY2022 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -146.27% in FY2024 (+202.41 pp), -348.68% in FY2023 (-329.01 pp) and -19.67% in FY2022.
- The five-year range for quarterly Return on Capital Employed [ROCE] is -3268.50% (Q2 2024) to -19.68% (Q4 2022).
- Year-over-year, Return on Capital Employed [ROCE] has increased for seven consecutive quarters, with an average year-over-year change of +575.47 percentage points over the last seven quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2025 (a gain of 3088.94 percentage points), and the weakest in Q4 2023 (a drop of 321.33 percentage points).
- Business Quant data shows MSAI's Return on Capital Employed [ROCE] at -31.25% (Q1 2026), -57.13% (Q4 2025) and -125.85% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | -0.47% |
| 10 | MultiSensor AI Holdings | 10.26 Mn | -58.73 Mn | 776,000.00 | -31.92% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -31.92% |
| Mar 31, 2026 | -31.25% |
| Dec 31, 2025 | -57.13% |
| Sep 30, 2025 | -125.85% |
| Jun 30, 2025 | -179.56% |
| Mar 31, 2025 | -165.92% |
| Dec 31, 2024 | -133.27% |
| Sep 30, 2024 | -199.86% |
| Jun 30, 2024 | -3,268.50% |
| Mar 31, 2024 | -465.05% |
| Dec 31, 2023 | -341.01% |
| Dec 31, 2022 | -19.68% |
API Access
MultiSensor AI Holdings Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=MSAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=MSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();