Novanta (NOVTU) Other Accumulated Expenses (2010 - 2026)
Novanta's Other Accumulated Expenses came in at $85.21 million for Q2 2026, up 32.1% from $64.52 million a year earlier and up 27.9% from the prior quarter.
Novanta (NOVTU) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Novanta's Other Accumulated Expenses was $63.5 million, up 5.2% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $60.33 million in FY2024 (-1.2%), $61.06 million in FY2023 (-3.2%), $63.04 million in FY2022 (-36.0%) and $98.48 million in FY2021 (+83.1%).
- The Q2 2026 figure represents the highest quarterly Other Accumulated Expenses since Q2 2022.
- Year-over-year, Other Accumulated Expenses has increased for six consecutive quarters, with growth averaging 12.1% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q1 2022 (growth of 86.6%), and the weakest in Q2 2023 (a decline of 49.1%).
- Business Quant data shows NOVTU's Other Accumulated Expenses at $66.6 million (Q1 2026), $63.5 million (Q4 2025) and $66.79 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 85.21 Mn |
| Apr 3, 2026 | 66.60 Mn |
| Dec 31, 2025 | 63.50 Mn |
| Sep 26, 2025 | 66.79 Mn |
| Jun 27, 2025 | 64.52 Mn |
| Mar 28, 2025 | 56.29 Mn |
| Dec 31, 2024 | 60.33 Mn |
| Sep 27, 2024 | 57.47 Mn |
| Jun 28, 2024 | 54.63 Mn |
| Mar 29, 2024 | 54.79 Mn |
| Dec 31, 2023 | 61.06 Mn |
| Sep 29, 2023 | 54.38 Mn |
| Jun 30, 2023 | 51.95 Mn |
| Mar 31, 2023 | 49.30 Mn |
| Dec 31, 2022 | 63.04 Mn |
| Sep 30, 2022 | 58.63 Mn |
| Jul 1, 2022 | 101.99 Mn |
| Apr 1, 2022 | 90.80 Mn |
| Dec 31, 2021 | 98.48 Mn |
| Oct 1, 2021 | 104.51 Mn |
Novanta Other Accumulated 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=other-accumulated-expenses&ticker=NOVTU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "NOVTU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=NOVTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();