Titan International (TWI) EBITDA (2010 - 2026)
Titan International's EBITDA came in at $30.53 million for Q2 2026, up 14.0% from $26.78 million a year earlier and up 828.6% from the prior quarter.
Titan International (TWI) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Titan International reported EBITDA of $67.24 million, down 8.5% year-over-year; for FY2025, it was $87.87 million, down 6.4% from FY2024.
- EBITDA has declined in each of the last three years, though with a five-year compound annual growth rate of 35.4% (FY2020 to FY2025).
- Going back by year, EBITDA was $93.89 million in FY2024 (-50.9%), $191.16 million in FY2023 (-23.1%), $248.55 million in FY2022 (+86.6%) and $133.17 million in FY2021 (+589.8%).
- The Q2 2026 figure represents the highest quarterly EBITDA since Q2 2024.
- Year-over-year, EBITDA increased in three of the last eight quarters, with an average decline of 14.2%.
- The fastest year-over-year change in EBITDA over five years came in Q3 2021 (growth of 432.3%), and the weakest in Q4 2024 (a decline of 88.5%).
- Business Quant data shows TWI's EBITDA at $3.29 million (Q1 2026), $6.88 million (Q4 2025) and $26.54 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Titan International | 450.75 Mn | -299.90 Mn | 74.92 Mn | 30.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.53 Mn |
| Mar 31, 2026 | 3.29 Mn |
| Dec 31, 2025 | 6.88 Mn |
| Sep 30, 2025 | 26.54 Mn |
| Jun 30, 2025 | 26.78 Mn |
| Mar 31, 2025 | 27.67 Mn |
| Dec 31, 2024 | 3.63 Mn |
| Sep 30, 2024 | 15.44 Mn |
| Jun 30, 2024 | 37.74 Mn |
| Mar 31, 2024 | 37.07 Mn |
| Dec 31, 2023 | 31.55 Mn |
| Sep 30, 2023 | 37.01 Mn |
| Jun 30, 2023 | 56.63 Mn |
| Mar 31, 2023 | 65.97 Mn |
| Dec 31, 2022 | 51.37 Mn |
| Sep 30, 2022 | 60.53 Mn |
| Jun 30, 2022 | 80.60 Mn |
| Mar 31, 2022 | 56.06 Mn |
| Dec 31, 2021 | 35.97 Mn |
| Sep 30, 2021 | 34.33 Mn |
Titan International 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=TWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "TWI", "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=TWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();