FBS Global (FBGL) Cash & Equivalents (2022 - 2025)
FBS Global's Cash & Equivalents came in at $4.11 million for Q4 2025, up 83.1% from $2.24 million a year earlier.
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Analysis
FBS Global (FBGL) Cash & Equivalents (2022 - 2025) Analysis & Trends
At the end of FY2025, FBS Global's Cash & Equivalents was $4.04 million, up 80.0% from FY2024.
- Cash & Equivalents carries a three-year compound annual growth rate of 28.8% (FY2022 to FY2025).
- Going back by year, Cash & Equivalents was $2.24 million in FY2024 (-32.4%), $3.32 million in FY2023 (+75.7%) and $1.89 million in FY2022.
- The five-year range for quarterly Cash & Equivalents is $1.43 million (Q4 2022) to $5.35 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.72 Bn | 87.80 Bn | 1.55 Bn | 506.43 Mn |
| 2 | Ferrovial | 35.25 Bn | 13.49 Bn | - | 5.02 Bn |
| 3 | Emcor | 30.99 Bn | 27.38 Bn | 1.02 Bn | 924.41 Mn |
| 4 | Jacobs Solutions | 16.38 Bn | 11.05 Bn | 810.70 Mn | 1.17 Bn |
| 5 | Mastec | 14.50 Bn | 13.29 Bn | 556.28 Mn | 315.64 Mn |
| 6 | Sterling Infrastructure | 12.46 Bn | 10.79 Bn | 289.96 Mn | 464.45 Mn |
| 7 | IES Holdings | 9.61 Bn | 8.47 Bn | 340.66 Mn | 77.28 Mn |
| 8 | Stantec | 7.88 Bn | 6.81 Bn | 1.36 Bn | 265.54 Mn |
| 9 | Aecom | 7.45 Bn | 2.57 Bn | -34.04 Mn | 1.01 Bn |
| 10 | FBS Global | 3.60 Mn | -11.59 Mn | - | 4.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.15 Mn |
| Jun 30, 2025 | 5.30 Mn |
| Dec 31, 2024 | 2.20 Mn |
| Dec 31, 2023 | 3.40 Mn |
| Dec 31, 2022 | 1.48 Mn |
API Access
FBS Global Cash & Equivalents 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=cash-and-equivalents&ticker=FBGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "FBGL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=FBGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();