Novanta (NOVT) Restructuring Costs (2010 - 2026)
Novanta (NOVT) recorded Restructuring Costs of $12.5 million in Q2 2026, down 0.6% from $12.57 million a year earlier but up 379.8% from the prior quarter.
Novanta (NOVT) Restructuring Costs (2010 - 2026) Analysis & Trends
On a TTM basis, Novanta's Restructuring Costs came in at $27.64 million as of Jul 3, 2026, up 49.8% year-over-year; for FY2025, it came in at $22.65 million, up 65.2% from FY2024.
- Annual Restructuring Costs has increased for three straight years, with a five-year compound annual growth rate of 38.3% (FY2020 to FY2025).
- Across earlier years, Restructuring Costs came in at $13.71 million in FY2024 (+7.0%), $12.81 million in FY2023 (+190.7%), $4.41 million in FY2022 (-75.5%) and $18.02 million in FY2021 (+302.5%).
- Quarterly Restructuring Costs has ranged from -$3.01 million in Q1 2025 to $12.57 million in Q2 2025 over the past five years.
- On a year-over-year basis, Restructuring Costs rose in three of the last six quarters, with growth averaging 91.1%.
- Peak year-over-year performance for Restructuring Costs in the last five years was growth of 394.4% in Q2 2025, against a decline of 78.1% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.61 million (Q1 2026), $5.86 million (Q4 2025) and $6.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Novanta | 5.38 Bn | 3.80 Bn | 120.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 12.50 Mn |
| Apr 3, 2026 | 2.61 Mn |
| Dec 31, 2025 | 5.86 Mn |
| Sep 26, 2025 | 6.68 Mn |
| Jun 27, 2025 | 12.57 Mn |
| Mar 28, 2025 | -3.01 Mn |
| Dec 31, 2024 | 6.38 Mn |
| Sep 27, 2024 | 2.50 Mn |
| Jun 28, 2024 | 2.54 Mn |
| Mar 29, 2024 | 2.28 Mn |
| Dec 31, 2023 | 4.62 Mn |
| Sep 29, 2023 | 4.48 Mn |
| Jun 30, 2023 | 1.23 Mn |
| Mar 31, 2023 | 2.48 Mn |
| Dec 31, 2022 | 1.40 Mn |
| Sep 30, 2022 | 1.78 Mn |
| Jul 1, 2022 | 2.66 Mn |
| Apr 1, 2022 | -2.25 Mn |
| Dec 31, 2021 | 1.54 Mn |
| Oct 1, 2021 | 8.12 Mn |
Novanta Restructuring Costs 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=restructuring-costs&ticker=NOVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=NOVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();