Foster L B (FSTR) Total Liabilities (2010 - 2026)
Foster L B (FSTR) posted Total Liabilities of $155.25 million for Q2 2026, down 11.1% from $174.68 million a year earlier and down 2.5% from the prior quarter.
Foster L B (FSTR) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Foster L B's Total Liabilities came in at $154.37 million, down 0.7% from FY2024.
- Annual Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- In prior years, Foster L B's Total Liabilities was $155.54 million in FY2024 (-8.3%), $169.57 million in FY2023 (-25.5%), $227.71 million in FY2022 (+43.2%) and $158.99 million in FY2021 (-17.9%).
- Quarterly Total Liabilities has run from a low of $154.37 million in Q4 2025 to a high of $237.49 million in Q3 2022 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last 12 quarters, with an average decline of 7.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2022, with growth of 43.2%; the weakest was Q4 2023, with a decline of 25.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $159.29 million (Q1 2026), $154.37 million (Q4 2025) and $158.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Foster L B | 387.66 Mn | 370.99 Mn | 30.87 Mn | 155.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.25 Mn |
| Mar 31, 2026 | 159.29 Mn |
| Dec 31, 2025 | 154.37 Mn |
| Sep 30, 2025 | 158.30 Mn |
| Jun 30, 2025 | 174.68 Mn |
| Mar 31, 2025 | 171.23 Mn |
| Dec 31, 2024 | 155.54 Mn |
| Sep 30, 2024 | 162.11 Mn |
| Jun 30, 2024 | 185.61 Mn |
| Mar 31, 2024 | 181.12 Mn |
| Dec 31, 2023 | 169.57 Mn |
| Sep 30, 2023 | 192.46 Mn |
| Jun 30, 2023 | 208.98 Mn |
| Mar 31, 2023 | 199.36 Mn |
| Dec 31, 2022 | 227.71 Mn |
| Sep 30, 2022 | 237.49 Mn |
| Jun 30, 2022 | 184.38 Mn |
| Mar 31, 2022 | 165.72 Mn |
| Dec 31, 2021 | 158.99 Mn |
| Sep 30, 2021 | 177.43 Mn |
Foster L B Total Liabilities 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=total-liabilities&ticker=FSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();