Nn (NNBR) EBITDA (2010 - 2026)
Nn (NNBR) reported EBITDA of $10.35 million for Q2 2026, up 38.8% from $7.45 million a year earlier and up 44.1% from the prior quarter.
Nn (NNBR) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nn's EBITDA came in at $23.1 million, up 95.5% year-over-year; for FY2025, it came in at $17.01 million, down 4.2% from FY2024.
- EBITDA has declined for four consecutive years.
- By year, EBITDA came in at $17.75 million in FY2024 (-27.0%), $24.32 million in FY2023 (-7.0%), $26.14 million in FY2022 (-29.7%) and $37.19 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly EBITDA since Q1 2021.
- Year over year, EBITDA gained in two of the last six quarters, with growth averaging 4.0%.
- The high point for year-over-year EBITDA in five years was Q1 2026 (growth of 80.2%); the low point was Q4 2022 (a decline of 70.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.18 million (Q1 2026), -$1.25 million (Q4 2025) and $6.82 million (Q3 2025).
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 | Nn | 192.95 Mn | 266.56 Mn | 21.88 Mn | 10.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.35 Mn |
| Mar 31, 2026 | 7.18 Mn |
| Dec 31, 2025 | -1.25 Mn |
| Sep 30, 2025 | 6.82 Mn |
| Jun 30, 2025 | 7.45 Mn |
| Mar 31, 2025 | 3.99 Mn |
| Dec 31, 2024 | -6.72 Mn |
| Sep 30, 2024 | 7.09 Mn |
| Jun 30, 2024 | 9.61 Mn |
| Mar 31, 2024 | 7.76 Mn |
| Dec 31, 2023 | 3.53 Mn |
| Sep 30, 2023 | 8.84 Mn |
| Jun 30, 2023 | 7.50 Mn |
| Mar 31, 2023 | 4.44 Mn |
| Dec 31, 2022 | 2.23 Mn |
| Sep 30, 2022 | 9.08 Mn |
| Jun 30, 2022 | 6.83 Mn |
| Mar 31, 2022 | 8.01 Mn |
| Dec 31, 2021 | 7.55 Mn |
| Sep 30, 2021 | 6.99 Mn |
Nn 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=NNBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "NNBR", "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=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();