908 Devices (MASS) Operating Expenses (2020 - 2026)
908 Devices' Operating Expenses came in at $21.15 million for Q2 2026, down 1.8% from $21.53 million a year earlier but up 7.0% from the prior quarter.
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Analysis
908 Devices (MASS) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, 908 Devices reported Operating Expenses of $70.66 million, down 24.7% year-over-year; for FY2025, it came in at $67.84 million, down 17.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $81.89 million in FY2024 (+20.3%), $68.08 million in FY2023 (+10.9%), $61.41 million in FY2022 (+35.5%) and $45.3 million in FY2021 (+118.4%).
- The five-year range for quarterly Operating Expenses is $6.06 million (Q4 2025) to $32.27 million (Q3 2024).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 16.9%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 135.7%), and the weakest in Q4 2025 (a decline of 74.1%).
- Business Quant data shows MASS's Operating Expenses at $19.77 million (Q1 2026), $6.06 million (Q4 2025) and $23.68 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 11.75 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 21.79 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 2.03 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 13.04 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 780.00 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 133.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 9.85 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 1.28 Bn |
| 10 | 908 Devices | 399.35 Mn | -38.95 Mn | 8.34 Mn | 21.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.15 Mn |
| Mar 31, 2026 | 19.77 Mn |
| Dec 31, 2025 | 6.06 Mn |
| Sep 30, 2025 | 23.68 Mn |
| Jun 30, 2025 | 21.53 Mn |
| Mar 31, 2025 | 16.57 Mn |
| Dec 31, 2024 | 23.42 Mn |
| Sep 30, 2024 | 32.27 Mn |
| Jun 30, 2024 | 14.70 Mn |
| Mar 31, 2024 | 11.50 Mn |
| Dec 31, 2023 | 16.99 Mn |
| Sep 30, 2023 | 16.96 Mn |
| Jun 30, 2023 | 16.73 Mn |
| Mar 31, 2023 | 17.40 Mn |
| Dec 31, 2022 | 16.26 Mn |
| Sep 30, 2022 | 16.49 Mn |
| Jun 30, 2022 | 15.00 Mn |
| Mar 31, 2022 | 13.65 Mn |
| Dec 31, 2021 | 12.66 Mn |
| Sep 30, 2021 | 12.09 Mn |
API Access
908 Devices 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=MASS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MASS", "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=MASS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();