Enpro (NPO) Non Operating Interest Expenses (2009 - 2026)
Enpro (NPO) reported Non Operating Interest Expenses of $8.7 million for Q3 2026, up 26.1% from $6.9 million a year earlier and unchanged from the prior quarter.
Enpro (NPO) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Enpro's Non Operating Interest Expenses came in at $35.7 million, up 3.2% year-over-year; for FY2025, it came in at $34 million, down 16.9% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $40.9 million in FY2024 (-9.1%), $45 million in FY2023 (+26.4%), $35.6 million in FY2022 (+119.8%) and $16.2 million in FY2021 (-1.8%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $4.2 million in Q4 2021 and a high of $12.4 million in Q2 2023.
- Year over year, Non Operating Interest Expenses gained in two of the last eight quarters, with an average decline of 5.9%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q4 2022 (growth of 171.4%); the low point was Q3 2025 (a decline of 33.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $8.7 million (Q2 2026), $9.4 million (Q1 2026) and $8.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 129.00 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 212.30 Mn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 710.00 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 198.00 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 146.00 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | - |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 83.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 6.40 Mn |
| 10 | Enpro | 5.82 Bn | 5.47 Bn | 153.20 Mn | 8.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.70 Mn |
| Jun 30, 2026 | 8.70 Mn |
| Mar 31, 2026 | 9.40 Mn |
| Dec 31, 2025 | 8.90 Mn |
| Sep 30, 2025 | 6.90 Mn |
| Jun 30, 2025 | 9.00 Mn |
| Mar 31, 2025 | 9.20 Mn |
| Dec 31, 2024 | 9.50 Mn |
| Sep 30, 2024 | 10.40 Mn |
| Jun 30, 2024 | 10.70 Mn |
| Mar 31, 2024 | 10.30 Mn |
| Dec 31, 2023 | 10.10 Mn |
| Sep 30, 2023 | 10.80 Mn |
| Jun 30, 2023 | 12.40 Mn |
| Mar 31, 2023 | 11.70 Mn |
| Dec 31, 2022 | 11.40 Mn |
| Sep 30, 2022 | 9.40 Mn |
| Jun 30, 2022 | 7.70 Mn |
| Mar 31, 2022 | 7.10 Mn |
| Dec 31, 2021 | 4.20 Mn |
Enpro Non Operating Interest 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=non-operating-interest-expenses&ticker=NPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=NPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();