Nn (NNBR) EBITDA (2009 - 2026)
Nn (NNBR) reported EBITDA of $6.19 million for Q3 2026, down 12.2% from $7.05 million a year earlier and down 41.6% from the prior quarter.
Powered by 
Analysis
Nn (NNBR) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Nn's EBITDA came in at $23.21 million, up 73.7% year-over-year; for FY2025, it came in at $18.5 million, down 7.7% from FY2024.
- EBITDA has declined for four consecutive years.
- By year, EBITDA came in at $20.04 million in FY2024 (-23.7%), $26.26 million in FY2023 (-4.5%), $27.5 million in FY2022 (-28.7%) and $38.57 million in FY2021.
- Five-year quarterly EBITDA spans a low of -$6.15 million in Q4 2024 and a high of $10.6 million in Q2 2026.
- Year over year, EBITDA gained in two of the last six quarters, with growth averaging 1.1%.
- The high point for year-over-year EBITDA in five years was Q1 2024 (growth of 73.3%); the low point was Q4 2022 (a decline of 67.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $10.6 million (Q2 2026), $7.43 million (Q1 2026) and -$1.01 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 4.83 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 3.37 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 2.05 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.48 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 1.89 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.72 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 1.28 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 1.09 Bn |
| 10 | Nn | 250.71 Mn | 237.71 Mn | 18.27 Mn | 6.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.19 Mn |
| Jun 30, 2026 | 10.60 Mn |
| Mar 31, 2026 | 7.43 Mn |
| Dec 31, 2025 | -1.01 Mn |
| Sep 30, 2025 | 7.05 Mn |
| Jun 30, 2025 | 7.76 Mn |
| Mar 31, 2025 | 4.70 Mn |
| Dec 31, 2024 | -6.15 Mn |
| Sep 30, 2024 | 7.71 Mn |
| Jun 30, 2024 | 10.18 Mn |
| Mar 31, 2024 | 8.31 Mn |
| Dec 31, 2023 | 4.07 Mn |
| Sep 30, 2023 | 9.37 Mn |
| Jun 30, 2023 | 8.03 Mn |
| Mar 31, 2023 | 4.79 Mn |
| Dec 31, 2022 | 2.57 Mn |
| Sep 30, 2022 | 9.44 Mn |
| Jun 30, 2022 | 7.16 Mn |
| Mar 31, 2022 | 8.34 Mn |
| Dec 31, 2021 | 7.89 Mn |
API Access
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_KEYimport 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();