Novanta (NOVTU) Change in Accrued Expenses (2013 - 2026)
Novanta's Change in Accured Expenses came in at $21.92 million for Q2 2026, compared with -$5.16 million a year earlier and up 64.2% from the prior quarter.
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Analysis
Novanta (NOVTU) Change in Accrued Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 3, 2026, Novanta reported Change in Accured Expenses of $42.45 million; for FY2025, it was $3.71 million, down 71.6% from FY2024.
- Going back by year, Change in Accured Expenses was $13.06 million in FY2024, -$20.45 million in FY2023, $30.33 million in FY2022 (+23.7%) and $24.52 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Change in Accured Expenses in data going back to Q1 2013.
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 152.9%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q1 2026 (growth of 691.9%), and the weakest in Q4 2022 (a decline of 81.2%).
- Business Quant data shows NOVTU's Change in Accured Expenses at $13.34 million (Q1 2026), $3.71 million (Q4 2025) and $3.48 million (Q3 2025) in the three quarters before Q2 2026.
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Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 21.92 Mn |
| Apr 3, 2026 | 13.34 Mn |
| Dec 31, 2025 | 3.71 Mn |
| Sep 26, 2025 | 3.48 Mn |
| Jun 27, 2025 | -5.16 Mn |
| Mar 28, 2025 | 1.69 Mn |
| Dec 31, 2024 | 5.56 Mn |
| Sep 27, 2024 | -1.43 Mn |
| Jun 28, 2024 | 1.88 Mn |
| Mar 29, 2024 | 7.05 Mn |
| Dec 31, 2023 | 4.31 Mn |
| Sep 29, 2023 | 4.52 Mn |
| Jun 30, 2023 | -6.99 Mn |
| Mar 31, 2023 | -22.30 Mn |
| Dec 31, 2022 | 940,000.00 |
| Sep 30, 2022 | 9.03 Mn |
| Jul 1, 2022 | 20.40 Mn |
| Apr 1, 2022 | -38,000.00 |
| Dec 31, 2021 | 5.01 Mn |
| Oct 1, 2021 | -2.55 Mn |
API Access
Novanta Change in Accrued 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=change-in-accured-expenses&ticker=NOVTU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=NOVTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();