Camden National (CAC) Change in Net Loans (2012 - 2020)
Camden National's Change in Net Loans was $62.98 million in Q1 2020, up 276.4% from $16.73 million a year earlier.
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Analysis
Camden National (CAC) Change in Net Loans (2012 - 2020) Analysis & Trends
On a trailing twelve-month basis, Camden National's Change in Net Loans was $116.96 million through Mar 31, 2020, down 53.9% year-over-year; for FY2019, it came in at $70.71 million, down 71.0% from FY2018.
- Change in Net Loans shows a five-year compound annual growth rate of -18.5% (FY2014 to FY2019).
- In earlier years, Change in Net Loans was $243.82 million in FY2018 (+29.9%), $187.74 million in FY2017 (+81.0%), $103.7 million in FY2016 (+9.4%) and $94.81 million in FY2015 (-51.8%).
- The Q1 2020 figure marks the highest quarterly Change in Net Loans since Q4 2018.
- Compared with a year earlier, Change in Net Loans was higher in four of the last seven quarters, with growth averaging 111.9%.
- The best year-over-year quarter for Change in Net Loans over five years was Q2 2016 (growth of 455.4%); the worst was Q4 2016 (a decline of 94.3%).
- Per Business Quant data, CAC's Change in Net Loans in the three quarters before Q1 2020 was -$15.1 million (Q4 2019), $11.26 million (Q3 2019) and $57.82 million (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Camden National | 935.25 Mn | 935.25 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 62.98 Mn |
| Dec 31, 2019 | -15.10 Mn |
| Sep 30, 2019 | 11.26 Mn |
| Jun 30, 2019 | 57.82 Mn |
| Mar 31, 2019 | 16.73 Mn |
| Dec 31, 2018 | 116.96 Mn |
| Sep 30, 2018 | 41.59 Mn |
| Jun 30, 2018 | 78.27 Mn |
| Mar 31, 2018 | 7.01 Mn |
| Dec 31, 2017 | 34.11 Mn |
| Sep 30, 2017 | 12.27 Mn |
| Jun 30, 2017 | 91.31 Mn |
| Mar 31, 2017 | 50.05 Mn |
| Dec 31, 2016 | 1.97 Mn |
| Sep 30, 2016 | 8.02 Mn |
| Jun 30, 2016 | 91.39 Mn |
| Mar 31, 2016 | 2.32 Mn |
| Dec 31, 2015 | 34.21 Mn |
| Sep 30, 2015 | 23.85 Mn |
| Jun 30, 2015 | 16.45 Mn |
API Access
Camden National Change in Net Loans 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=change-in-net-loans&ticker=CAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "ticker": "CAC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-net-loans&ticker=CAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();