MultiSensor AI Holdings (MSAI) EBITDA (2023 - 2026)
MultiSensor AI Holdings (MSAI) posted EBITDA of -$2.24 million for Q2 2026, compared with -$2.99 million a year earlier.
MultiSensor AI Holdings (MSAI) EBITDA (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at MultiSensor AI Holdings was -$7.87 million; for FY2025, it was -$10.71 million.
- In prior years, MultiSensor AI Holdings' EBITDA was -$17.74 million in FY2024, -$20.61 million in FY2023 and -$11.46 million in FY2022.
- Quarterly EBITDA has run from a low of -$12.8 million in Q4 2023 to a high of -$1.35 million in Q3 2025 over five years.
- According to Business Quant data, EBITDA for the three prior quarters was -$2.24 million (Q1 2026), -$2.04 million (Q4 2025) and -$1.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 693.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 170.34 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 827.40 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -134.60 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 47.04 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 79.24 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 166.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | - |
| 10 | MultiSensor AI Holdings | 10.37 Mn | -58.62 Mn | 776,000.00 | -2.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.24 Mn |
| Mar 31, 2026 | -2.24 Mn |
| Dec 31, 2025 | -2.04 Mn |
| Sep 30, 2025 | -1.35 Mn |
| Jun 30, 2025 | -2.99 Mn |
| Mar 31, 2025 | -4.34 Mn |
| Dec 31, 2024 | -2.53 Mn |
| Sep 30, 2024 | -8.37 Mn |
| Jun 30, 2024 | -4.55 Mn |
| Mar 31, 2024 | -2.29 Mn |
| Dec 31, 2023 | -12.80 Mn |
| Sep 30, 2023 | -1.89 Mn |
| Jun 30, 2023 | -2.94 Mn |
| Mar 31, 2023 | -3.00 Mn |
MultiSensor AI Holdings EBITDA 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=ebitda&ticker=MSAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();