Enpro (NPO) Accumulated Expenses (2011 - 2026)
Enpro's Accumulated Expenses was $112.6 million in Q2 2026, up 11.9% from $100.6 million a year earlier but down 3.0% from the prior quarter.
Analysis
Enpro (NPO) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Enpro came in at $116.9 million, up 0.8% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $116 million in FY2024 (-3.0%), $119.6 million in FY2023 (-0.5%), $120.2 million in FY2022 (+3.2%) and $116.5 million in FY2021 (-9.3%).
- Quarterly Accumulated Expenses has moved between $100.6 million (Q2 2025) and $142.8 million (Q3 2021) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for four straight quarters, with growth averaging 1.8% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2026 (growth of 11.9%); the worst was Q1 2023 (a decline of 16.2%).
- Per Business Quant data, NPO's Accumulated Expenses in the three quarters before Q2 2026 was $116.1 million (Q1 2026), $116.9 million (Q4 2025) and $122.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | Enpro | 7.04 Bn | 6.64 Bn | 149.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.60 Mn |
| Mar 31, 2026 | 116.10 Mn |
| Dec 31, 2025 | 116.90 Mn |
| Sep 30, 2025 | 122.80 Mn |
| Jun 30, 2025 | 100.60 Mn |
| Mar 31, 2025 | 108.60 Mn |
| Dec 31, 2024 | 116.00 Mn |
| Sep 30, 2024 | 112.70 Mn |
| Jun 30, 2024 | 103.00 Mn |
| Mar 31, 2024 | 108.70 Mn |
| Dec 31, 2023 | 119.60 Mn |
| Sep 30, 2023 | 123.40 Mn |
| Jun 30, 2023 | 108.20 Mn |
| Mar 31, 2023 | 115.40 Mn |
| Dec 31, 2022 | 120.20 Mn |
| Sep 30, 2022 | 129.10 Mn |
| Jun 30, 2022 | 124.30 Mn |
| Mar 31, 2022 | 137.70 Mn |
| Dec 31, 2021 | 116.50 Mn |
| Sep 30, 2021 | 142.80 Mn |
API Access
Enpro Accumulated 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=accumulated-expenses&ticker=NPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=NPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();