MultiSensor AI Holdings (MSAI) Asset Utilization Ratio (2023 - 2026)
MultiSensor AI Holdings' Asset Utilization Ratio came in at 0.19 for Q2 2026, down 47.4% from 0.36 a year earlier but up 8.0% from the prior quarter.
Analysis
MultiSensor AI Holdings (MSAI) Asset Utilization Ratio (2023 - 2026) Analysis & Trends
For FY2025, MultiSensor AI Holdings' Asset Utilization Ratio was 0.22, down 53.1% from FY2024.
- Going back by year, Asset Utilization Ratio was 0.46 in FY2024 (+44.8%), 0.32 in FY2023 (+200.8%) and 0.11 in FY2022.
- The five-year range for quarterly Asset Utilization Ratio is 0.18 (Q1 2026) to 0.49 (Q2 2024).
- Year-over-year, Asset Utilization Ratio has declined for six consecutive quarters, with an average decline of 21.9% over the last seven quarters.
- Business Quant data shows MSAI's Asset Utilization Ratio at 0.18 (Q1 2026), 0.23 (Q4 2025) and 0.42 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 0.24 |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 0.46 |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 0.73 |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 0.63 |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 0.55 |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 0.33 |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 0.44 |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 0.27 |
| 10 | MultiSensor AI Holdings | 10.48 Mn | -58.51 Mn | 776,000.00 | 0.19 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.19 |
| Mar 31, 2026 | 0.18 |
| Dec 31, 2025 | 0.23 |
| Sep 30, 2025 | 0.42 |
| Jun 30, 2025 | 0.36 |
| Mar 31, 2025 | 0.39 |
| Dec 31, 2024 | 0.43 |
| Sep 30, 2024 | 0.43 |
| Jun 30, 2024 | 0.49 |
| Mar 31, 2024 | 0.44 |
| Dec 31, 2023 | 0.32 |
API Access
MultiSensor AI Holdings Asset Utilization Ratio 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=asset-utilization-ratio&ticker=MSAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=MSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();