Bank Of America (BAC) Net Change in Fed Funds Purchased and Repos (2009 - 2026)
Bank Of America's Net Change in Fed Funds Purchased and Repos was -$16.8 billion in Q3 2026, compared with -$56.87 billion a year earlier.
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Analysis
Bank Of America (BAC) Net Change in Fed Funds Purchased and Repos (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bank Of America's Net Change in Fed Funds Purchased and Repos was -$27.17 billion through Sep 30, 2026; for FY2025, it came in at $16.95 billion, down 64.6% from FY2024.
- Net Change in Fed Funds Purchased and Repos shows a five-year compound annual growth rate of 26.6% (FY2020 to FY2025).
- In earlier years, Net Change in Fed Funds Purchased and Repos was $47.87 billion in FY2024 (-45.8%), $88.25 billion in FY2023, $3.31 billion in FY2022 (-85.0%) and $22.01 billion in FY2021 (+322.1%).
- Quarterly Net Change in Fed Funds Purchased and Repos has moved between -$66.2 billion (Q4 2024) and $118.75 billion (Q1 2023) over five years.
- The best year-over-year quarter for Net Change in Fed Funds Purchased and Repos over five years was Q1 2023 (growth of 431.2%); the worst was Q1 2026 (a decline of 81.3%).
- Per Business Quant data, BAC's Net Change in Fed Funds Purchased and Repos in the three quarters before Q3 2026 was -$20.8 billion (Q2 2026), $8.3 billion (Q1 2026) and $2.13 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Repos Chg. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | -1.47 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | -16.80 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | -10.33 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | -31.29 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -16.80 Bn |
| Jun 30, 2026 | -20.80 Bn |
| Mar 31, 2026 | 8.30 Bn |
| Dec 31, 2025 | 2.13 Bn |
| Sep 30, 2025 | -56.87 Bn |
| Jun 30, 2025 | 27.38 Bn |
| Mar 31, 2025 | 44.31 Bn |
| Dec 31, 2024 | -66.20 Bn |
| Sep 30, 2024 | 29.85 Bn |
| Jun 30, 2024 | 38.45 Bn |
| Mar 31, 2024 | 45.77 Bn |
| Dec 31, 2023 | -16.82 Bn |
| Sep 30, 2023 | 12.08 Bn |
| Jun 30, 2023 | -25.75 Bn |
| Mar 31, 2023 | 118.75 Bn |
| Dec 31, 2022 | -19.99 Bn |
| Sep 30, 2022 | 11.32 Bn |
| Jun 30, 2022 | -10.38 Bn |
| Mar 31, 2022 | 22.36 Bn |
| Dec 31, 2021 | -15.10 Bn |
API Access
Bank Of America 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=BAC&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": "BAC", "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=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();