MultiSensor AI Holdings (MSAI) Operating Expenses (2022 - 2026)
MultiSensor AI Holdings (MSAI) recorded Operating Expenses of $3.38 million in Q2 2026, down 7.6% from $3.65 million a year earlier and down 3.7% from the prior quarter.
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Analysis
MultiSensor AI Holdings (MSAI) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, MultiSensor AI Holdings' Operating Expenses came in at $12.33 million as of Jun 30, 2026, down 39.9% year-over-year; for FY2025, it came in at $14.41 million, down 32.7% from FY2024.
- Annual Operating Expenses has a four-year compound annual growth rate of 141.3% (FY2021 to FY2025).
- Across earlier years, Operating Expenses came in at $21.43 million in FY2024 (-6.5%), $22.92 million in FY2023 (+60.0%), $14.32 million in FY2022 and $424,882 in FY2021.
- Quarterly Operating Expenses has ranged from $227,175 in Q1 2022 to $13.54 million in Q4 2023 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for five consecutive quarters, with an average decline of 6.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 712.1% in Q2 2023, against a decline of 71.5% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.51 million (Q1 2026), $2.75 million (Q4 2025) and $2.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | MultiSensor AI Holdings | 10.37 Mn | -58.62 Mn | 776,000.00 | 3.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.38 Mn |
| Mar 31, 2026 | 3.51 Mn |
| Dec 31, 2025 | 2.75 Mn |
| Sep 30, 2025 | 2.70 Mn |
| Jun 30, 2025 | 3.65 Mn |
| Mar 31, 2025 | 5.31 Mn |
| Dec 31, 2024 | 3.85 Mn |
| Sep 30, 2024 | 7.71 Mn |
| Jun 30, 2024 | 6.43 Mn |
| Mar 31, 2024 | 3.44 Mn |
| Dec 31, 2023 | 13.54 Mn |
| Sep 30, 2023 | 3.16 Mn |
| Jun 30, 2023 | 2.55 Mn |
| Mar 31, 2023 | 3.69 Mn |
| Dec 31, 2022 | 13.53 Mn |
| Sep 30, 2022 | 253,954.00 |
| Jun 30, 2022 | 314,387.00 |
| Mar 31, 2022 | 227,175.00 |
API Access
MultiSensor AI Holdings Operating Expenses 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=operating-expenses&ticker=MSAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();