Enpro (NPO) Total Non-Current Liabilities (2010 - 2026)
Enpro's Total Non-Current Liabilities came in at $917.6 million for Q2 2026, up 20.9% from $758.9 million a year earlier but down 3.0% from the prior quarter.
Enpro (NPO) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Enpro's Total Non-Current Liabilities was $987.2 million, up 4.0% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $949 million in FY2024 (-2.5%), $973.7 million in FY2023 (-14.7%), $1.14 billion in FY2022 (-27.2%) and $1.57 billion in FY2021 (+81.0%).
- The five-year range for quarterly Total Non-Current Liabilities is $758.9 million (Q2 2025) to $1.57 billion (Q4 2021).
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters, with an average decline of 3.7% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2021 (growth of 81.0%), and the weakest in Q4 2022 (a decline of 27.2%).
- Business Quant data shows NPO's Total Non-Current Liabilities at $945.9 million (Q1 2026), $987.2 million (Q4 2025) and $759 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Enpro | 6.48 Bn | 6.08 Bn | 149.00 Mn | 917.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 917.60 Mn |
| Mar 31, 2026 | 945.90 Mn |
| Dec 31, 2025 | 987.20 Mn |
| Sep 30, 2025 | 759.00 Mn |
| Jun 30, 2025 | 758.90 Mn |
| Mar 31, 2025 | 930.50 Mn |
| Dec 31, 2024 | 949.00 Mn |
| Sep 30, 2024 | 964.90 Mn |
| Jun 30, 2024 | 980.00 Mn |
| Mar 31, 2024 | 1.00 Bn |
| Dec 31, 2023 | 973.70 Mn |
| Sep 30, 2023 | 987.20 Mn |
| Jun 30, 2023 | 1.11 Bn |
| Mar 31, 2023 | 1.13 Bn |
| Dec 31, 2022 | 1.14 Bn |
| Sep 30, 2022 | 1.32 Bn |
| Jun 30, 2022 | 1.41 Bn |
| Mar 31, 2022 | 1.52 Bn |
| Dec 31, 2021 | 1.57 Bn |
| Sep 30, 2021 | 883.40 Mn |
Enpro 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=NPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NPO", "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=NPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();