Foster L B (FSTR) Operating Expenses (2010 - 2026)
Foster L B (FSTR) posted Operating Expenses of $24.11 million for Q2 2026, up 7.7% from $22.38 million a year earlier and up 4.7% from the prior quarter.
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Analysis
Foster L B (FSTR) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Foster L B was $92.36 million, up 0.3% year-over-year; for FY2025, it came in at $88.56 million, down 8.1% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- In prior years, Foster L B's Operating Expenses was $96.4 million in FY2024 (-1.3%), $97.62 million in FY2023 (+18.1%), $82.66 million in FY2022 (+8.8%) and $76 million in FY2021 (+3.2%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 3.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2022, with growth of 28.7%; the weakest was Q4 2024, with a decline of 10.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $23.03 million (Q1 2026), $23.15 million (Q4 2025) and $22.08 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | - |
| 10 | Foster L B | 387.66 Mn | 370.99 Mn | 30.87 Mn | 24.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.11 Mn |
| Mar 31, 2026 | 23.03 Mn |
| Dec 31, 2025 | 23.15 Mn |
| Sep 30, 2025 | 22.08 Mn |
| Jun 30, 2025 | 22.38 Mn |
| Mar 31, 2025 | 20.95 Mn |
| Dec 31, 2024 | 24.42 Mn |
| Sep 30, 2024 | 24.29 Mn |
| Jun 30, 2024 | 24.82 Mn |
| Mar 31, 2024 | 22.87 Mn |
| Dec 31, 2023 | 27.26 Mn |
| Sep 30, 2023 | 24.42 Mn |
| Jun 30, 2023 | 24.52 Mn |
| Mar 31, 2023 | 21.42 Mn |
| Dec 31, 2022 | 23.35 Mn |
| Sep 30, 2022 | 22.62 Mn |
| Jun 30, 2022 | 19.39 Mn |
| Mar 31, 2022 | 17.30 Mn |
| Dec 31, 2021 | 18.15 Mn |
| Sep 30, 2021 | 20.06 Mn |
API Access
Foster L B 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=FSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FSTR", "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=FSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();