Federal Home Loan Mortgage Corp (FMCCT) Receivables (2011 - 2020)
Federal Home Loan Mortgage's Receivables was $29.29 billion in Q3 2020, up 71.9% from $17.04 billion a year earlier and up 13.4% from the prior quarter.
Federal Home Loan Mortgage Corp (FMCCT) Receivables (2011 - 2020) Analysis & Trends
At the end of FY2019, Receivables at Federal Home Loan Mortgage came in at $15.21 billion, up 150.1% from FY2018.
- Receivables shows a five-year compound annual growth rate of 22.4% (FY2014 to FY2019).
- In earlier years, Receivables was $6.08 billion in FY2018 (-39.8%), $10.1 billion in FY2017 (+36.8%), $7.38 billion in FY2016 (+37.2%) and $5.38 billion in FY2015 (-2.7%).
- The Q3 2020 figure marks the highest quarterly Receivables in data going back to Q4 2011.
- Compared with a year earlier, Receivables has increased for six straight quarters, with growth averaging 63.3% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q1 2020 (growth of 163.6%); the worst was Q4 2018 (a decline of 39.8%).
- Per Business Quant data, FMCCT's Receivables in the three quarters before Q3 2020 was $25.82 billion (Q2 2020), $21.77 billion (Q1 2020) and $15.21 billion (Q4 2019).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 29.29 Bn |
| Jun 30, 2020 | 25.82 Bn |
| Mar 31, 2020 | 21.77 Bn |
| Dec 31, 2019 | 15.21 Bn |
| Sep 30, 2019 | 17.04 Bn |
| Jun 30, 2019 | 13.05 Bn |
| Mar 31, 2019 | 8.26 Bn |
| Dec 31, 2018 | 6.08 Bn |
| Sep 30, 2018 | 10.38 Bn |
| Jun 30, 2018 | 11.39 Bn |
| Mar 31, 2018 | 9.85 Bn |
| Dec 31, 2017 | 10.10 Bn |
| Sep 30, 2017 | 10.35 Bn |
| Jun 30, 2017 | 7.01 Bn |
| Mar 31, 2017 | 6.22 Bn |
| Dec 31, 2016 | 7.38 Bn |
| Sep 30, 2016 | 8.44 Bn |
| Jun 30, 2016 | 7.88 Bn |
| Mar 31, 2016 | 6.85 Bn |
| Dec 31, 2015 | 5.38 Bn |
Federal Home Loan Mortgage Corp Receivables 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=receivables&ticker=FMCCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "FMCCT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=FMCCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();