Sunrun (RUN) Cash & Equivalents (2014 - 2025)
Sunrun (RUN) recorded Cash & Equivalents of $618.06 million in Q2 2025, up 2.2% from the prior quarter.
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Analysis
Sunrun (RUN) Cash & Equivalents (2014 - 2025) Analysis & Trends
At the end of FY2024, Sunrun reported Cash & Equivalents of $574.96 million.
- The Q2 2025 figure is the highest quarterly Cash & Equivalents in data going back to Q2 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 83.95 Bn | 82.02 Bn | 1.55 Bn | 506.43 Mn |
| 2 | Ferrovial | 35.30 Bn | 13.55 Bn | - | 5.02 Bn |
| 3 | Emcor | 29.46 Bn | 25.85 Bn | 1.02 Bn | 924.41 Mn |
| 4 | Jacobs Solutions | 16.79 Bn | 11.46 Bn | 810.70 Mn | 1.17 Bn |
| 5 | Mastec | 13.35 Bn | 12.13 Bn | 556.28 Mn | 315.64 Mn |
| 6 | Sterling Infrastructure | 11.53 Bn | 9.85 Bn | 289.96 Mn | 464.45 Mn |
| 7 | IES Holdings | 9.05 Bn | 7.90 Bn | 340.66 Mn | 77.28 Mn |
| 8 | Stantec | 8.07 Bn | 6.99 Bn | 1.36 Bn | 265.54 Mn |
| 9 | Aecom | 7.64 Bn | 2.76 Bn | -34.04 Mn | 1.01 Bn |
| 10 | Sunrun | 1.82 Bn | 1.82 Bn | 328.22 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 618.06 Mn |
| Mar 31, 2025 | 604.87 Mn |
| Dec 31, 2024 | 574.96 Mn |
| Sep 30, 2017 | 236.13 Mn |
| Mar 31, 2017 | 203.79 Mn |
| Dec 31, 2016 | 224.36 Mn |
| Sep 30, 2016 | 207.48 Mn |
| Jun 30, 2016 | 207.22 Mn |
| Mar 31, 2016 | 208.31 Mn |
| Dec 31, 2015 | 221.16 Mn |
| Sep 30, 2015 | 263.01 Mn |
| Jun 30, 2015 | 116.61 Mn |
| Mar 31, 2015 | 105.47 Mn |
| Dec 31, 2014 | 152.15 Mn |
| Sep 30, 2014 | 155.65 Mn |
| Jun 30, 2014 | 203.90 Mn |
API Access
Sunrun 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=RUN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "RUN", "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=RUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();