Novanta (NOVT) Total Liabilities (2010 - 2026)
Novanta's Total Liabilities came in at $523.11 million for Q2 2026, down 26.3% from $709.62 million a year earlier but up 7.2% from the prior quarter.
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Analysis
Novanta (NOVT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Novanta's Total Liabilities was $492.82 million, down 23.3% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $642.81 million in FY2024 (+16.3%), $552.6 million in FY2023 (-16.7%), $663.63 million in FY2022 (-6.1%) and $706.59 million in FY2021 (+81.9%).
- The five-year range for quarterly Total Liabilities is $488.03 million (Q1 2026) to $728.88 million (Q1 2024).
- Year-over-year, Total Liabilities has declined for three consecutive quarters, with an average decline of 5.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2021 (growth of 81.9%), and the weakest in Q2 2026 (a decline of 26.3%).
- Business Quant data shows NOVT's Total Liabilities at $488.03 million (Q1 2026), $492.82 million (Q4 2025) and $704.34 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 21.81 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 35.36 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 11.14 Bn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Novanta | 5.72 Bn | 4.14 Bn | 120.92 Mn | 523.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 523.11 Mn |
| Apr 3, 2026 | 488.03 Mn |
| Dec 31, 2025 | 492.82 Mn |
| Sep 26, 2025 | 704.34 Mn |
| Jun 27, 2025 | 709.62 Mn |
| Mar 28, 2025 | 615.70 Mn |
| Dec 31, 2024 | 642.81 Mn |
| Sep 27, 2024 | 676.63 Mn |
| Jun 28, 2024 | 696.58 Mn |
| Mar 29, 2024 | 728.88 Mn |
| Dec 31, 2023 | 552.60 Mn |
| Sep 29, 2023 | 549.42 Mn |
| Jun 30, 2023 | 606.69 Mn |
| Mar 31, 2023 | 627.80 Mn |
| Dec 31, 2022 | 663.63 Mn |
| Sep 30, 2022 | 665.33 Mn |
| Jul 1, 2022 | 673.67 Mn |
| Apr 1, 2022 | 671.47 Mn |
| Dec 31, 2021 | 706.59 Mn |
| Oct 1, 2021 | 710.12 Mn |
API Access
Novanta Total Liabilities 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=total-liabilities&ticker=NOVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NOVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();