Tredegar (TG) Operating Expenses (2010 - 2026)
Tredegar (TG) posted Operating Expenses of $208.5 million for Q2 2026, up 17.3% from $177.69 million a year earlier and up 15.6% from the prior quarter.
Tredegar (TG) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Tredegar was $741.35 million, up 13.5% year-over-year; for FY2025, it came in at $693.59 million, up 16.3% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- In prior years, Tredegar's Operating Expenses was $596.19 million in FY2024 (-17.4%), $721.64 million in FY2023 (-4.2%), $753.48 million in FY2022 (-3.4%) and $779.61 million in FY2021 (+9.3%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q3 2023.
- On a year-over-year basis, Operating Expenses has increased in each of the last seven quarters, with growth averaging 15.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 132.8%; the weakest was Q4 2022, with a decline of 79.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $180.43 million (Q1 2026), $166.6 million (Q4 2025) and $185.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Tredegar | 246.23 Mn | 193.42 Mn | 29.02 Mn | 208.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 208.50 Mn |
| Mar 31, 2026 | 180.43 Mn |
| Dec 31, 2025 | 166.60 Mn |
| Sep 30, 2025 | 185.82 Mn |
| Jun 30, 2025 | 177.69 Mn |
| Mar 31, 2025 | 163.48 Mn |
| Dec 31, 2024 | 163.47 Mn |
| Sep 30, 2024 | 148.60 Mn |
| Jun 30, 2024 | 145.13 Mn |
| Mar 31, 2024 | 138.99 Mn |
| Dec 31, 2023 | 99.33 Mn |
| Sep 30, 2023 | 229.83 Mn |
| Jun 30, 2023 | 200.40 Mn |
| Mar 31, 2023 | 192.08 Mn |
| Dec 31, 2022 | 42.67 Mn |
| Sep 30, 2022 | 236.47 Mn |
| Jun 30, 2022 | 255.28 Mn |
| Mar 31, 2022 | 219.06 Mn |
| Dec 31, 2021 | 212.17 Mn |
| Sep 30, 2021 | 201.77 Mn |
Tredegar Operating 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=operating-expenses&ticker=TG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=TG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();