Related reading
Detection and Investigation
Detection and Investigation Interpretation
More related reading
Financial Impact
Financial Impact Interpretation
More related reading
Geographic Distribution
Geographic Distribution Interpretation
More related reading
Prevalence
Prevalence Interpretation
More related reading
Types of Fraud
Types of Fraud Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Karl Becker. (2026, February 13). Business Fraud Statistics. Gitnux. https://gitnux.org/business-fraud-statistics
Karl Becker. "Business Fraud Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/business-fraud-statistics.
Karl Becker. 2026. "Business Fraud Statistics." Gitnux. https://gitnux.org/business-fraud-statistics.
Sources & References
- Reference 1ACFEacfe.com
acfe.com
- Reference 2PWCpwc.com
pwc.com
- Reference 3USCHAMBERuschamber.com
uschamber.com
- Reference 4FBIfbi.gov
fbi.gov
- Reference 5ACTIONFRAUDactionfraud.police.uk
actionfraud.police.uk
- Reference 6IC3ic3.gov
ic3.gov
- Reference 7EUROPAeuropa.eu
europa.eu
- Reference 8JUSTICEjustice.gov
justice.gov
- Reference 9IIIiii.org
iii.org
- Reference 10NRFnrf.com
nrf.com
- Reference 11OIGoig.hhs.gov
oig.hhs.gov
- Reference 12OECDoecd.org
oecd.org
- Reference 13ABAaba.com
aba.com
- Reference 14SOPHOSsophos.com
sophos.com
- Reference 15REPORTFRAUDreportfraud.ftc.gov
reportfraud.ftc.gov
- Reference 16FTCftc.gov
ftc.gov
- Reference 17FATF-GAFIfatf-gafi.org
fatf-gafi.org
- Reference 18VERIZONverizon.com
verizon.com
- Reference 19CHAINALYSISchainalysis.com
chainalysis.com
- Reference 20SECsec.gov
sec.gov
- Reference 21FINRAfinra.org
finra.org
- Reference 22KPMGkpmg.com
kpmg.com
- Reference 23DELOITTEwww2.deloitte.com
www2.deloitte.com
- Reference 24NFIBnfib.com
nfib.com
- Reference 25WORLDBANKworldbank.org
worldbank.org
- Reference 26SBAsba.gov
sba.gov
- Reference 27ICAEWicaew.com
icaew.com
- Reference 28EYey.com
ey.com
- Reference 29GARTNERgartner.com
gartner.com
- Reference 30MICROSOFTmicrosoft.com
microsoft.com
- Reference 31SASsas.com
sas.com
- Reference 32THEIIAtheiia.org
theiia.org
- Reference 33CAIXINcaixin.com
caixin.com
- Reference 34ACCCaccc.gov.au
accc.gov.au
- Reference 35FEDSFMfedsfm.ru
fedsfm.ru
- Reference 36TRANSPARENCYtransparency.org
transparency.org
- Reference 37SABMILLERsabmiller.com
sabmiller.com
- Reference 38INEGIinegi.org.mx
inegi.org.mx
- Reference 39BKAbka.de
bka.de
- Reference 40UNODCunodc.org
unodc.org
- Reference 41CITYOFLONDONcityoflondon.police.uk
cityoflondon.police.uk
- Reference 42CCOMPTESccomptes.fr
ccomptes.fr
- Reference 43KPKkpk.go.id
kpk.go.id







