Axos Financial (AX) Net Change in Fed Funds Purchased and Repos (2017 - 2022)
Axos Financial's Net Change in Fed Funds Purchased and Repos was -$92 million in fiscal Q2 2023 (quarter ended Dec 31, 2022), compared with $4.4 million a year earlier.
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Analysis
Axos Financial (AX) Net Change in Fed Funds Purchased and Repos (2017 - 2022) Analysis & Trends
On a trailing twelve-month basis, Axos Financial's Net Change in Fed Funds Purchased and Repos was -$134.1 million through Dec 31, 2022.
- The fiscal Q2 2023 figure marks the lowest quarterly Net Change in Fed Funds Purchased and Repos in data going back to fiscal Q1 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Repos Chg. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 919.24 Bn | 919.24 Bn | - | -1.47 Bn |
| 2 | Bank Of America | 363.53 Bn | -2,012.58 Bn | - | -16.80 Bn |
| 3 | Hsbc Holdings | 314.00 Bn | -1,789.60 Bn | - | - |
| 4 | Morgan Stanley | 293.07 Bn | -250.96 Bn | - | - |
| 5 | Royal Bank Of Canada | 287.90 Bn | -542.14 Bn | - | - |
| 6 | Goldman Sachs | 268.08 Bn | -3,475.37 Bn | - | - |
| 7 | Wells Fargo & Company | 259.99 Bn | 259.99 Bn | - | -31.29 Bn |
| 8 | Mitsubishi Ufj Financial | 246.92 Bn | -94.47 Bn | 10.89 Bn | - |
| 9 | American Express | 218.90 Bn | 18.38 Bn | - | - |
| 10 | Axos Financial | 5.38 Bn | -494.73 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -92.00 Mn |
| Sep 30, 2022 | -19.50 Mn |
| Mar 31, 2022 | -27.00 Mn |
| Dec 31, 2021 | 4.40 Mn |
| Sep 30, 2021 | 34.40 Mn |
| Mar 31, 2021 | -2.87 Mn |
| Dec 31, 2020 | -35.45 Mn |
| Sep 30, 2020 | 45.60 Mn |
| Mar 31, 2020 | 14.00 Mn |
| Dec 31, 2019 | -71.50 Mn |
| Sep 30, 2019 | -35.30 Mn |
| Mar 31, 2019 | 67.20 Mn |
| Dec 31, 2017 | -10.00 Mn |
| Sep 30, 2017 | -10.00 Mn |
API Access
Axos Financial Net Change in Fed Funds Purchased and Repos 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=net-change-in-fed-funds-purchased-and-repos&ticker=AX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-change-in-fed-funds-purchased-and-repos", "ticker": "AX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-change-in-fed-funds-purchased-and-repos&ticker=AX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();