Novanta (NOVT) Total Non-Current Liabilities (2010 - 2026)
Novanta (NOVT) posted Total Non-Current Liabilities of $498.62 million for Q2 2026, down 29.1% from $702.81 million a year earlier but up 3.7% from the prior quarter.
Novanta (NOVT) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Novanta's Total Non-Current Liabilities came in at $485.83 million, down 23.8% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In prior years, Novanta's Total Non-Current Liabilities was $637.87 million in FY2024 (+16.7%), $546.66 million in FY2023 (-16.9%), $657.54 million in FY2022 (-5.7%) and $696.95 million in FY2021 (+87.8%).
- Quarterly Total Non-Current Liabilities has run from a low of $480.72 million in Q1 2026 to a high of $723.11 million in Q1 2024 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last three quarters, with an average decline of 5.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2021, with growth of 87.8%; the weakest was Q2 2026, with a decline of 29.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $480.72 million (Q1 2026), $485.83 million (Q4 2025) and $697.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | - |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 18.30 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 26.86 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 10.73 Bn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Novanta | 5.72 Bn | 4.14 Bn | 120.92 Mn | 498.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 498.62 Mn |
| Apr 3, 2026 | 480.72 Mn |
| Dec 31, 2025 | 485.83 Mn |
| Sep 26, 2025 | 697.85 Mn |
| Jun 27, 2025 | 702.81 Mn |
| Mar 28, 2025 | 611.03 Mn |
| Dec 31, 2024 | 637.87 Mn |
| Sep 27, 2024 | 671.29 Mn |
| Jun 28, 2024 | 691.12 Mn |
| Mar 29, 2024 | 723.11 Mn |
| Dec 31, 2023 | 546.66 Mn |
| Sep 29, 2023 | 544.22 Mn |
| Jun 30, 2023 | 601.13 Mn |
| Mar 31, 2023 | 621.96 Mn |
| Dec 31, 2022 | 657.54 Mn |
| Sep 30, 2022 | 659.08 Mn |
| Jul 1, 2022 | 666.67 Mn |
| Apr 1, 2022 | 664.17 Mn |
| Dec 31, 2021 | 696.95 Mn |
| Oct 1, 2021 | 698.38 Mn |
Novanta Total Non-Current 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-non-current-liabilities&ticker=NOVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=NOVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();