Robot Consulting (LAWR) Cash & Equivalents (2024 - 2026)
Robot Consulting's Cash & Equivalents came in at $3.06 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 316.8% from $734,195 a year earlier.
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Analysis
Robot Consulting (LAWR) Cash & Equivalents (2024 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Robot Consulting's Cash & Equivalents was $3.19 million, up 334.3% from FY2025.
- Cash & Equivalents carries a three-year compound annual growth rate of -2.9% (FY2023 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $734,195 in FY2025 (-76.9%), $3.18 million in FY2024 (-8.6%) and $3.48 million in FY2023.
- The five-year range for quarterly Cash & Equivalents is $734,195 (fiscal Q4 2025) to $4.06 million (fiscal Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 157.75 Bn | 115.68 Bn | 5.98 Bn | 12.83 Bn |
| 2 | Cintas | 89.37 Bn | 88.45 Bn | 1.55 Bn | 243.60 Mn |
| 3 | Iron Mountain | 33.45 Bn | 32.65 Bn | 1.06 Bn | 188.16 Mn |
| 4 | Rollins | 18.43 Bn | 17.97 Bn | 582.90 Mn | 129.05 Mn |
| 5 | APi | 18.29 Bn | 15.51 Bn | 770.00 Mn | 373.00 Mn |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | 1.02 Bn |
| 7 | Aramark | 14.32 Bn | 12.27 Bn | 430.34 Mn | 499.43 Mn |
| 8 | Rentokil Initial | 12.08 Bn | 5.60 Bn | - | 2.47 Bn |
| 9 | Gartner | 12.08 Bn | 5.57 Bn | 1.07 Bn | 1.63 Bn |
| 10 | Robot Consulting | 172.35 Mn | 161.46 Mn | - | 3.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.00 Mn |
| Sep 30, 2025 | 4.02 Mn |
| Mar 31, 2025 | 748,658.23 |
| Mar 31, 2024 | 3.11 Mn |
API Access
Robot Consulting 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=LAWR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "LAWR", "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=LAWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();