Enpro (NPO) EBITDA (2010 - 2026)
Enpro (NPO) reported EBITDA of $84.8 million for Q2 2026, up 19.6% from $70.9 million a year earlier and up 19.4% from the prior quarter.
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Analysis
Enpro (NPO) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Enpro's EBITDA came in at $282.3 million, up 10.8% year-over-year; for FY2025, it came in at $264.4 million, up 9.0% from FY2024.
- EBITDA has a five-year compound annual growth rate of 25.3% (FY2020 to FY2025).
- By year, EBITDA came in at $242.6 million in FY2024 (+41.6%), $171.3 million in FY2023 (-2.3%), $175.3 million in FY2022 (+35.7%) and $129.2 million in FY2021 (+50.8%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q3 2010.
- Year over year, EBITDA has now increased in each of the last four quarters, with growth averaging 13.0% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q3 2021 (growth of 241.7%); the low point was Q2 2023 (a decline of 93.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $71 million (Q1 2026), $60.4 million (Q4 2025) and $66.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Enpro | 6.48 Bn | 6.08 Bn | 149.00 Mn | 84.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.80 Mn |
| Mar 31, 2026 | 71.00 Mn |
| Dec 31, 2025 | 60.40 Mn |
| Sep 30, 2025 | 66.10 Mn |
| Jun 30, 2025 | 70.90 Mn |
| Mar 31, 2025 | 67.00 Mn |
| Dec 31, 2024 | 57.50 Mn |
| Sep 30, 2024 | 59.30 Mn |
| Jun 30, 2024 | 73.20 Mn |
| Mar 31, 2024 | 52.60 Mn |
| Dec 31, 2023 | 43.90 Mn |
| Sep 30, 2023 | 55.60 Mn |
| Jun 30, 2023 | 4.40 Mn |
| Mar 31, 2023 | 67.40 Mn |
| Dec 31, 2022 | -13.00 Mn |
| Sep 30, 2022 | 70.60 Mn |
| Jun 30, 2022 | 70.00 Mn |
| Mar 31, 2022 | 47.70 Mn |
| Dec 31, 2021 | 17.50 Mn |
| Sep 30, 2021 | 32.80 Mn |
API Access
Enpro EBITDA 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=ebitda&ticker=NPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();