Sunrun (RUN) Intangibles (2014 - 2023)
Sunrun (RUN) posted Intangibles of $1.27 million for Q3 2023, down 85.6% from $8.87 million a year earlier and down 74.9% from the prior quarter.
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Analysis
Sunrun (RUN) Intangibles (2014 - 2023) Analysis & Trends
At the end of FY2022, Sunrun's Intangibles came in at $7.53 million, down 41.6% from FY2021.
- Annual Intangibles has declined for three consecutive years, with a five-year compound annual growth rate of -12.0% (FY2017 to FY2022).
- In prior years, Sunrun's Intangibles was $12.89 million in FY2021 (-29.4%), $18.26 million in FY2020 (-6.6%), $19.54 million in FY2019 (+93.7%) and $10.09 million in FY2018 (-29.4%).
- The Q3 2023 figure stands as the lowest quarterly Intangibles in data going back to Q4 2014.
- On a year-over-year basis, Intangibles has declined in each of the last 13 quarters, with an average decline of 44.8% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was Q2 2020, with growth of 101.5%; the weakest was Q3 2023, with a decline of 85.6%.
- According to Business Quant data, Intangibles for the three prior quarters was $5.08 million (Q2 2023), $6.19 million (Q1 2023) and $7.53 million (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.81 Bn | 87.89 Bn | 1.55 Bn | 3.22 Bn |
| 2 | Ferrovial | 35.40 Bn | 13.65 Bn | - | 149.19 Mn |
| 3 | Emcor | 31.21 Bn | 27.60 Bn | 1.02 Bn | 1.08 Bn |
| 4 | Jacobs Solutions | 16.43 Bn | 11.10 Bn | 810.70 Mn | 604.20 Mn |
| 5 | Mastec | 14.65 Bn | 13.43 Bn | 556.28 Mn | 730.00 Mn |
| 6 | Sterling Infrastructure | 12.67 Bn | 10.99 Bn | 289.96 Mn | 660.02 Mn |
| 7 | IES Holdings | 9.64 Bn | 8.50 Bn | 340.66 Mn | 54.24 Mn |
| 8 | Stantec | 7.86 Bn | 6.79 Bn | 1.36 Bn | 373.28 Mn |
| 9 | Aecom | 7.59 Bn | 2.71 Bn | -34.04 Mn | 175.01 Mn |
| 10 | Sunrun | 1.80 Bn | 1.80 Bn | 328.22 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 1.27 Mn |
| Jun 30, 2023 | 5.08 Mn |
| Mar 31, 2023 | 6.19 Mn |
| Dec 31, 2022 | 7.53 Mn |
| Sep 30, 2022 | 8.87 Mn |
| Jun 30, 2022 | 10.21 Mn |
| Mar 31, 2022 | 11.55 Mn |
| Dec 31, 2021 | 12.89 Mn |
| Sep 30, 2021 | 14.23 Mn |
| Jun 30, 2021 | 15.57 Mn |
| Mar 31, 2021 | 17.11 Mn |
| Dec 31, 2020 | 18.26 Mn |
| Sep 30, 2020 | 15.73 Mn |
| Jun 30, 2020 | 16.89 Mn |
| Mar 31, 2020 | 18.06 Mn |
| Dec 31, 2019 | 19.54 Mn |
| Sep 30, 2019 | 21.07 Mn |
| Jun 30, 2019 | 8.38 Mn |
| Mar 31, 2019 | 9.20 Mn |
| Dec 31, 2018 | 10.09 Mn |
API Access
Sunrun Intangibles 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=intangibles&ticker=RUN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=RUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();