Titan International (TWI) Other Accumulated Expenses (2010 - 2026)
Titan International (TWI) posted Other Accumulated Expenses of $155.14 million for Q2 2026, up 7.6% from $144.25 million a year earlier and up 1.9% from the prior quarter.
Titan International (TWI) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Titan International's Other Accumulated Expenses came in at $141.51 million, down 1.2% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- In prior years, Titan International's Other Accumulated Expenses was $143.29 million in FY2024 (+2.8%), $139.38 million in FY2023 (-8.3%), $151.93 million in FY2022 (+8.4%) and $140.21 million in FY2021 (+6.7%).
- Quarterly Other Accumulated Expenses has run from a low of $139.38 million in Q4 2023 to a high of $181.94 million in Q3 2022 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in four of the last eight quarters, with an average decline of 2.4%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q2 2022, with growth of 20.0%; the weakest was Q1 2025, with a decline of 17.1%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $152.27 million (Q1 2026), $141.51 million (Q4 2025) and $163.65 million (Q3 2025).
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 | Titan International | 450.75 Mn | -299.90 Mn | 74.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.14 Mn |
| Mar 31, 2026 | 152.27 Mn |
| Dec 31, 2025 | 141.51 Mn |
| Sep 30, 2025 | 163.65 Mn |
| Jun 30, 2025 | 144.25 Mn |
| Mar 31, 2025 | 146.08 Mn |
| Dec 31, 2024 | 143.29 Mn |
| Sep 30, 2024 | 168.90 Mn |
| Jun 30, 2024 | 171.42 Mn |
| Mar 31, 2024 | 176.15 Mn |
| Dec 31, 2023 | 139.38 Mn |
| Sep 30, 2023 | 162.76 Mn |
| Jun 30, 2023 | 152.83 Mn |
| Mar 31, 2023 | 167.95 Mn |
| Dec 31, 2022 | 151.93 Mn |
| Sep 30, 2022 | 181.94 Mn |
| Jun 30, 2022 | 168.40 Mn |
| Mar 31, 2022 | 151.66 Mn |
| Dec 31, 2021 | 140.21 Mn |
| Sep 30, 2021 | 152.23 Mn |
Titan International Other 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=other-accumulated-expenses&ticker=TWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=TWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();