Association For Machine Learning And Applications
| Fiscal year | Revenue | Expenses | Net | Reserve mo. | Staff % |
|---|---|---|---|---|---|
| 2012 | 120,455 | 119,496 | 959 | 0.1 | — |
| 2013 | 125,637 | 125,633 | 4 | 0.1 | — |
| 2014 | 123,262 | 121,841 | 1,421 | 0.2 | — |
| 2015 | 75,437 | 78,117 | −2,680 | -0.1 | — |
| 2016 | 153,096 | 152,247 | 849 | 0.0 | — |
| 2017 | 151,669 | 150,698 | 971 | 0.1 | — |
| 2018 | 176,043 | 177,346 | −1,303 | 0.0 | — |
| 2019 | 247,109 | 246,807 | 302 | 0.0 | 48% |
| 2020 | 302,372 | 301,725 | 647 | 0.0 | 37% |
| 2021 | 85,957 | 82,997 | 2,960 | 0.6 | — |
| 2022 | 118,119 | 116,820 | 1,299 | 0.6 | — |
| 2023 | 207,391 | 206,468 | 923 | 0.4 | 29% |
| 2024 | 251,017 | 255,377 | −4,360 | 0.1 | 23% |
In its most recent public year (2024), this organization spent $4,360 more than it brought in. Its reserves stood at about 0.1 months of spending. Staff pay was 23% of spending.
Reserve months = net assets ÷ average monthly spending; net assets count everything the organization owns beyond its debts — buildings and donor-restricted funds included, not just cash. Staff pay = salaries, wages, and officer compensation; it excludes benefits and payroll taxes. The IRS releases this data years after the fact — this organization's newest public year is 2024. Years refer to the calendar year in which the organization's fiscal year ended. Short-form filers do not publicly report donor-restricted balances or staffing costs. Source filings
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