Where Food Comes From (WFCF) Operating Expenses (2010 - 2026)
Where Food Comes From's Operating Expenses came in at $2.02 million for Q2 2026, up 5.6% from $1.91 million a year earlier.
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Analysis
Where Food Comes From (WFCF) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Where Food Comes From reported Operating Expenses of $8.27 million, up 1.1% year-over-year; for FY2025, it came in at $8.3 million, down 0.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $8.36 million in FY2024 (+6.8%), $7.83 million in FY2023 (+0.1%), $7.82 million in FY2022 (+5.1%) and $7.43 million in FY2021 (+2.7%).
- The five-year range for quarterly Operating Expenses is $1.77 million (Q1 2022) to $2.23 million (Q4 2025).
- Year-over-year, Operating Expenses increased in three of the last seven quarters, with growth averaging 2.0%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 17.7%), and the weakest in Q3 2023 (a decline of 8.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Where Food Comes From | 57.67 Mn | 43.09 Mn | 2.68 Mn | 2.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.02 Mn |
| Dec 31, 2025 | 2.23 Mn |
| Sep 30, 2025 | 2.11 Mn |
| Jun 30, 2025 | 1.91 Mn |
| Mar 31, 2025 | 2.05 Mn |
| Dec 31, 2024 | 2.05 Mn |
| Sep 30, 2024 | 2.17 Mn |
| Jun 30, 2024 | 2.08 Mn |
| Mar 31, 2024 | 2.07 Mn |
| Dec 31, 2023 | 2.08 Mn |
| Sep 30, 2023 | 1.92 Mn |
| Jun 30, 2023 | 1.83 Mn |
| Mar 31, 2023 | 1.99 Mn |
| Dec 31, 2022 | 2.12 Mn |
| Sep 30, 2022 | 2.11 Mn |
| Jun 30, 2022 | 1.82 Mn |
| Mar 31, 2022 | 1.77 Mn |
| Dec 31, 2021 | 2.14 Mn |
| Sep 30, 2021 | 1.79 Mn |
| Jun 30, 2021 | 1.73 Mn |
API Access
Where Food Comes From Operating Expenses 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=operating-expenses&ticker=WFCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WFCF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=WFCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();