Where Food Comes From (WFCF) Selling, General & Administrative (2009 - 2026)
Where Food Comes From (WFCF) posted Selling, General & Administrative of $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) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Where Food Comes From was $8.27 million, up 1.1% year-over-year; for FY2025, it was $8.3 million, down 0.6% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In prior years, Where Food Comes From's Selling, General & Administrative 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%).
- Quarterly Selling, General & Administrative has run from a low of $1.77 million in Q1 2022 to a high of $2.23 million in Q4 2025 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in three of the last seven quarters, with growth averaging 2.0%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q3 2022, with growth of 17.7%; the weakest was Q3 2023, with a decline of 8.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 1.31 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 827.24 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 348.77 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 326.77 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 568.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 260.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 78.63 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 746.84 Mn |
| 10 | Where Food Comes From | 81.17 Mn | 66.52 Mn | 2.68 Mn | 2.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.02 Mn |
| Mar 31, 2026 | 1.75 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 |
API Access
Where Food Comes From Selling, General & Administrative 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=selling-general-and-administrative&ticker=WFCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=WFCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();