Novanta (NOVT) Operating Expenses (2010 - 2026)
Novanta (NOVT) recorded Operating Expenses of $102.85 million in Q2 2026, up 12.0% from $91.84 million a year earlier and up 19.5% from the prior quarter.
Powered by 
Analysis
Novanta (NOVT) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Novanta's Operating Expenses came in at $366.4 million as of Jul 3, 2026, up 13.8% year-over-year; for FY2025, it came in at $341.27 million, up 9.7% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $310.96 million in FY2024 (+7.4%), $289.4 million in FY2023 (+5.1%), $275.39 million in FY2022 (+16.6%) and $236.27 million in FY2021 (+25.3%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses has increased for five consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 35.4% in Q4 2021, against a decline of 3.8% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $86.04 million (Q1 2026), $88.43 million (Q4 2025) and $89.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn | 874.00 Mn |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn | 5.03 Bn |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn | 1.34 Bn |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn | 490.50 Mn |
| 10 | Novanta | 5.59 Bn | 4.02 Bn | 120.92 Mn | 102.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 102.85 Mn |
| Apr 3, 2026 | 86.04 Mn |
| Dec 31, 2025 | 88.43 Mn |
| Sep 26, 2025 | 89.07 Mn |
| Jun 27, 2025 | 91.84 Mn |
| Mar 28, 2025 | 71.93 Mn |
| Dec 31, 2024 | 81.52 Mn |
| Sep 27, 2024 | 76.66 Mn |
| Jun 28, 2024 | 77.97 Mn |
| Mar 29, 2024 | 74.81 Mn |
| Dec 31, 2023 | 74.88 Mn |
| Sep 29, 2023 | 71.28 Mn |
| Jun 30, 2023 | 71.93 Mn |
| Mar 31, 2023 | 71.32 Mn |
| Dec 31, 2022 | 67.70 Mn |
| Sep 30, 2022 | 69.75 Mn |
| Jul 1, 2022 | 71.95 Mn |
| Apr 1, 2022 | 65.99 Mn |
| Dec 31, 2021 | 61.20 Mn |
| Oct 1, 2021 | 61.02 Mn |
API Access
Novanta 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=NOVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NOVT", "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=NOVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();